417 results on '"Bailey, Peter J."'
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2. The Novel as Performance: The Fiction of Ronald Sukenick and Raymond Federman , and: The New American Novel of Manners: The Fiction of Richard Yates, Dan Wakefield, and Thomas McGuane (review)
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Bailey, Peter J.
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- 2009
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3. Targeting DNA Damage Response and Replication Stress in Pancreatic Cancer
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Allison, Sarah, Bailey, Peter J., Bailey, Ulla-Maja, Biankin, Andrew V., Beraldi, Dario, Brunton, Holly, Caligiuri, Giuseppina, Cameron, Euan, Chang, David K., Cooke, Susanna L., Cunningham, Richard, Dreyer, Stephan, Grimwood, Paul, Kelly, Shane, Lampraki, Eirini-Maria, Marshall, John, Martin, Sancha, McDade, Brian, McElroy, Daniel, Musgrove, Elizabeth A., Nourse, Craig, Paulus-Hock, Viola, Ramsay, Donna, Upstill-Goddard, Rosie, Wright, Derek, Jones, Marc D., Evers, Lisa, Rebus, Selma, Rahib, Lola, Serrels, Bryan, Hair, Jane, Jamieson, Nigel B., McKay, Colin J., Westwood, Paul, Williams, Nicola, Duthie, Fraser, Johns, Amber L., Mawson, Amanda, Scarlett, Christopher J., Brancato, Mary-Anne L., Rowe, Sarah J., Simpson, Skye H., Martyn-Smith, Mona, Thomas, Michelle T., Chantrill, Lorraine A., Chin, Venessa T., Chou, Angela, Cowley, Mark J., Humphris, Jeremy L., Mead, R. Scott, Nagrial, Adnan M., Pajic, Marina, Pettit, Jessica, Pinese, Mark, Rooman, Ilse, Wu, Jianmin, Tao, Jiang, DiPietro, Renee, Watson, Clare, Steinmann, Angela, Lee, Hong Ching, Wong, Rachel, Pinho, Andreia V., Giry-Laterriere, Marc, Daly, Roger J., Sutherland, Robert L., Grimmond, Sean M., Waddell, Nicola, Kassahn, Karin S., Miller, David K., Wilson, Peter J., Patch, Ann-Marie, Song, Sarah, Harliwong, Ivon, Idrisoglu, Senel, Nourbakhsh, Ehsan, Manning, Suzanne, Wani, Shivangi, Gongora, Milena, Anderson, Matthew, Holmes, Oliver, Leonard, Conrad, Taylor, Darrin, Wood, Scott, Xu, Christina, Nones, Katia, Fink, J. Lynn, Christ, Angelika, Bruxner, Tim, Cloonan, Nicole, Newell, Felicity, Pearson, John V., Bailey, Peter, Quinn, Michael, Nagaraj, Shivashankar, Kazakoff, Stephen, Waddell, Nick, Krisnan, Keerthana, Quek, Kelly, Wood, David, Samra, Jaswinder S., Gill, Anthony J., Pavlakis, Nick, Guminski, Alex, Toon, Christopher, Asghari, Ray, Merrett, Neil D., Pavey, Darren, Das, Amitabha, Cosman, Peter H., Ismail, Kasim, O’Connnor, Chelsie, Lam, Vincent W., McLeod, Duncan, Pleass, Henry C., Richardson, Arthur, James, Virginia, Kench, James G., Cooper, Caroline L., Joseph, David, Sandroussi, Charbel, Crawford, Michael, Gallagher, James, Texler, Michael, Forest, Cindy, Laycock, Andrew, Epari, Krishna P., Ballal, Mo, Fletcher, David R., Mukhedkar, Sanjay, Spry, Nigel A., DeBoer, Bastiaan, Chai, Ming, Zeps, Nikolajs, Beilin, Maria, Feeney, Kynan, Nguyen, Nan Q., Ruszkiewicz, Andrew R., Worthley, Chris, Tan, Chuan P., Debrencini, Tamara, Chen, John, Brooke-Smith, Mark E., Papangelis, Virginia, Tang, Henry, Barbour, Andrew P., Clouston, Andrew D., Martin, Patrick, O’Rourke, Thomas J., Chiang, Amy, Fawcett, Jonathan W., Slater, Kellee, Yeung, Shinn, Hatzifotis, Michael, Hodgkinson, Peter, Christophi, Christopher, Nikfarjam, Mehrdad, Mountain, Angela, Biobank, Victorian Cancer, Eshleman, James R., Hruban, Ralph H., Maitra, Anirban, Iacobuzio-Donahue, Christine A., Schulick, Richard D., Wolfgang, Christopher L., Morgan, Richard A., Hodgin, Mary, Scarpa, Aldo, Lawlor, Rita T., Beghelli, Stefania, Corbo, Vincenzo, Scardoni, Maria, Bassi, Claudio, Tempero, Margaret A., Graham, Janet S., Dreyer, Stephan B., Paris, Clara, Dray, Eloise, Plenker, Dennis, Galluzzo, Zachary, Tesson, Mathias, Jones, Marc, Moran-Jones, Kim, Wright, Derek W., Oien, Karin, McGregor, Grant A., Gulati, Aditi, Brough, Rachel, Bajrami, Ilirjana, Pettitt, Stephan, Dziubinski, Michele L., Candido, Juliana, Balkwill, Frances, Barry, Simon T., Grützmann, Robert, Johns, Amber, Froeling, Fieke E.M., Beer, Phillip, Petersen, Gloria M., Ashworth, Alan, Frame, Margaret C., Crawford, Howard C., Simeone, Diane M., Lord, Chris, Mukhopadhyay, Debabrata, Pilarsky, Christian, Tuveson, David A., Morton, Jennifer P., and Sansom, Owen J.
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- 2021
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4. Bowing Out: Retirement Rue in Ford and Updike.
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BAILEY, PETER J.
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MORTALITY ,TRIBULATION (Christian eschatology) - Published
- 2024
5. Functional Variants at the 11q13 Risk Locus for Breast Cancer Regulate Cyclin D1 Expression through Long-Range Enhancers
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French, Juliet D, Ghoussaini, Maya, Edwards, Stacey L, Meyer, Kerstin B, Michailidou, Kyriaki, Ahmed, Shahana, Khan, Sofia, Maranian, Mel J, O’Reilly, Martin, Hillman, Kristine M, Betts, Joshua A, Carroll, Thomas, Bailey, Peter J, Dicks, Ed, Beesley, Jonathan, Tyrer, Jonathan, Maia, Ana-Teresa, Beck, Andrew, Knoblauch, Nicholas W, Chen, Constance, Kraft, Peter, Barnes, Daniel, González-Neira, Anna, Alonso, M Rosario, Herrero, Daniel, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Verhoef, Senno, Cornelissen, Sten, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Loehberg, Christian R, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos Santos Silva, Isabel, Johnson, Nichola, Aitken, Zoe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Zamora, M Pilar, Perez, Jose Ignacio Arias, Benitez, Javier, Anton-Culver, Hoda, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita K, Engel, Christoph, Brauch, Hiltrud, Hamann, Ute, Justenhoven, Christina, Network, The GENICA, Aaltonen, Kirsimari, Heikkilä, Päivi, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Sueta, Aiko, Bogdanova, Natalia V, Antonenkova, Natalia N, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, and Kataja, Vesa
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Oncology and Carcinogenesis ,Breast Cancer ,Cancer ,Aetiology ,2.1 Biological and endogenous factors ,Binding Sites ,Breast Neoplasms ,Case-Control Studies ,Cell Line ,Tumor ,Chromatin ,Chromatin Immunoprecipitation ,Chromosomes ,Human ,Pair 11 ,Cyclin D1 ,Electrophoretic Mobility Shift Assay ,Enhancer Elements ,Genetic ,Female ,GATA3 Transcription Factor ,Gene Expression Regulation ,Neoplastic ,Humans ,Luciferases ,Polymorphism ,Single Nucleotide ,Promoter Regions ,Genetic ,RNA ,Messenger ,RNA ,Small Interfering ,Real-Time Polymerase Chain Reaction ,Reverse Transcriptase Polymerase Chain Reaction ,Silencer Elements ,Transcriptional ,ets-Domain Protein Elk-4 ,GENICA Network ,kConFab Investigators ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Analysis of 4,405 variants in 89,050 European subjects from 41 case-control studies identified three independent association signals for estrogen-receptor-positive tumors at 11q13. The strongest signal maps to a transcriptional enhancer element in which the G allele of the best candidate causative variant rs554219 increases risk of breast cancer, reduces both binding of ELK4 transcription factor and luciferase activity in reporter assays, and may be associated with low cyclin D1 protein levels in tumors. Another candidate variant, rs78540526, lies in the same enhancer element. Risk association signal 2, rs75915166, creates a GATA3 binding site within a silencer element. Chromatin conformation studies demonstrate that these enhancer and silencer elements interact with each other and with their likely target gene, CCND1.
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- 2013
6. The Reluctant Film Art of Woody Allen
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Bailey, Peter J., author and Bailey, Peter J.
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- 2016
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7. Precision Oncology in Surgery: Patient Selection for Operable Pancreatic Cancer
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Dreyer, Stephan B., Pinese, Mark, Jamieson, Nigel B., Scarlett, Christopher J., Colvin, Emily K., Pajic, Marina, Johns, Amber L., Humphris, Jeremy L., Wu, Jianmin, Cowley, Mark J., Chou, Angela, Nagrial, Adnan M., Chantrill, Lorraine, Chin, Venessa T., Jones, Marc D., Moran-Jones, Kim, Carter, Christopher Ross, Dickson, Euan J., Samra, Jaswinder S., Merrett, Neil D., Gill, Anthony J., Kench, James G., Duthie, Fraser, Miller, David K., Cooke, Susanna, Aust, Daniela, Knösel, Thomas, Rümmele, Petra, Grützmann, Robert, Pilarsky, Christian, Nguyen, Nam Q., Musgrove, Elizabeth A., Bailey, Peter J., McKay, Colin J., Biankin, Andrew V., and Chang, David K.
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- 2020
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8. More Distorted Mirrors: Ironic Self-Portraits in Updike's My Father's Tears.
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BAILEY, PETER J.
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SELF-portraits - Published
- 2023
9. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
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Jiao, Wei, Atwal, Gurnit, Polak, Paz, Karlic, Rosa, Cuppen, Edwin, Al-Shahrour, Fatima, Bailey, Peter J, Biankin, Andrew V, Boutros, Paul C, Campbell, Peter J, Chang, David K, Cooke, Susanna L, Deshpande, Vikram, Faltas, Bishoy M, Faquin, William C, Garraway, Levi, Getz, Gad, Grimmond, Sean M, Haider, Syed, Hoadley, Katherine A, Kaiser, Vera B, Kato, Mamoru, Kübler, Kirsten, Lazar, Alexander J, Li, Constance H, Louis, David N, Margolin, Adam, Martin, Sancha, Nahal-Bose, Hardeep K, Nielsen, G Petur, Nik-Zainal, Serena, Omberg, Larsson, P’ng, Christine, Perry, Marc D, Rheinbay, Esther, Rubin, Mark A, Semple, Colin A, Sgroi, Dennis C, Shibata, Tatsuhiro, Siebert, Reiner, Smith, Jaclyn, Stein, Lincoln D, Stobbe, Miranda D, Sun, Ren X, Thai, Kevin, Wright, Derek W, Wu, Chin-Lee, Yuan, Ke, Zhang, Junjun, Danyi, Alexandra, de Ridder, Jeroen, van Herpen, Carla, Lolkema, Martijn P, Steeghs, Neeltje, Morris, Quaid D, Aaltonen, Lauri A, Abascal, Federico, Abeshouse, Adam, Aburatani, Hiroyuki, Adams, David J, Agrawal, Nishant, Ahn, Keun Soo, Ahn, Sung-Min, Aikata, Hiroshi, Akbani, Rehan, Akdemir, Kadir C, Al-Ahmadie, Hikmat, Al-Sedairy, Sultan T, Alawi, Malik, Albert, Monique, Aldape, Kenneth, Alexandrov, Ludmil B, Ally, Adrian, Alsop, Kathryn, Alvarez, Eva G, Amary, Fernanda, Amin, Samirkumar B, Aminou, Brice, Ammerpohl, Ole, Anderson, Matthew J, Ang, Yeng, Antonello, Davide, Anur, Pavana, Aparicio, Samuel, Appelbaum, Elizabeth L, Arai, Yasuhito, Aretz, Axel, Arihiro, Koji, Ariizumi, Shun-ichi, Armenia, Joshua, Arnould, Laurent, Asa, Sylvia, Assenov, Yassen, Aukema, Sietse, Auman, J Todd, Aure, Miriam RR, Awadalla, Philip, Aymerich, Marta, Bader, Gary D, Baez-Ortega, Adrian, Bailey, Matthew H, Balasundaram, Miruna, Balu, Saianand, Bandopadhayay, Pratiti, Banks, Rosamonde E, Barbi, Stefano, Barbour, Andrew P, Barenboim, Jonathan, Barnholtz-Sloan, Jill, Barr, Hugh, Barrera, Elisabet, Bartlett, John, Bartolome, Javier, Bassi, Claudio, Bathe, Oliver F, Baumhoer, Daniel, Bavi, Prashant, Baylin, Stephen B, Bazant, Wojciech, Beardsmore, Duncan, Beck, Timothy A, Behjati, Sam, Behren, Andreas, Niu, Beifang, Bell, Cindy, Beltran, Sergi, Benz, Christopher, Berchuck, Andrew, Bergmann, Anke K, Bergstrom, Erik N, Berman, Benjamin P, Berney, Daniel M, Bernhart, Stephan H, Beroukhim, Rameen, Berrios, Mario, Bersani, Samantha, Bertl, Johanna, Betancourt, Miguel, Bhandari, Vinayak, Bhosle, Shriram G, Bieg, Matthias, Bigner, Darell, Binder, Hans, Birney, Ewan, Birrer, Michael, Biswas, Nidhan K, Bjerkehagen, Bodil, Bodenheimer, Tom, Boice, Lori, Bonizzato, Giada, De Bono, Johann S, Boot, Arnoud, Bootwalla, Moiz S, Borg, Ake, Borkhardt, Arndt, Boroevich, Keith A, Borozan, Ivan, Borst, Christoph, Bosenberg, Marcus, Bosio, Mattia, Boultwood, Jacqueline, Bourque, Guillaume, Bova, G Steven, Bowen, David T, Bowlby, Reanne, Bowtell, David DL, Boyault, Sandrine, Boyce, Rich, Boyd, Jeffrey, Brazma, Alvis, Brennan, Paul, Brewer, Daniel S, Brinkman, Arie B, Bristow, Robert G, Broaddus, Russell R, Brock, Jane E, Brock, Malcolm, Broeks, Annegien, Brooks, Angela N, Brooks, Denise, Brors, Benedikt, Brunak, Søren, Bruxner, Timothy JC, Bruzos, Alicia L, Buchanan, Alex, Buchhalter, Ivo, Buchholz, Christiane, Bullman, Susan, Burke, Hazel, Burkhardt, Birgit, Burns, Kathleen H, Busanovich, John, Bustamante, Carlos D, Butler, Adam P, Butte, Atul J, Byrne, Niall J, Børresen-Dale, Anne-Lise, Caesar-Johnson, Samantha J, Cafferkey, Andy, Cahill, Declan, Calabrese, Claudia, Caldas, Carlos, Calvo, Fabien, Camacho, Niedzica, Campo, Elias, Cantù, Cinzia, Cao, Shaolong, Carey, Thomas E, Carlevaro-Fita, Joana, Carlsen, Rebecca, Cataldo, Ivana, Cazzola, Mario, Cebon, Jonathan, Cerfolio, Robert, Chadwick, Dianne E, Chakravarty, Dimple, Chalmers, Don, Chan, Calvin Wing Yiu, Chan, Kin, Chan-Seng-Yue, Michelle, Chandan, Vishal S, Chanock, Stephen J, Chantrill, Lorraine A, Chateigner, Aurélien, Chatterjee, Nilanjan, Chayama, Kazuaki, Chen, Hsiao-Wei, Chen, Jieming, Chen, Ken, Chen, Yiwen, Chen, Zhaohong, Cherniack, Andrew D, Chien, Jeremy, Chiew, Yoke-Eng, Chin, Suet-Feung, Cho, Juok, Cho, Sunghoon, Choi, Jung Kyoon, Choi, Wan, Chomienne, Christine, Chong, Zechen, Choo, Su Pin, Chou, Angela, Christ, Angelika N, Christie, Elizabeth L, Chuah, Eric, Cibulskis, Carrie, Cibulskis, Kristian, Cingarlini, Sara, Clapham, Peter, Claviez, Alexander, Cleary, Sean, Cloonan, Nicole, Cmero, Marek, Collins, Colin C, Connor, Ashton A, Cooper, Colin S, Cope, Leslie, Corbo, Vincenzo, Cordes, Matthew G, Cordner, Stephen M, Cortés-Ciriano, Isidro, Covington, Kyle, Cowin, Prue A, Craft, Brian, Craft, David, Creighton, Chad J, Cun, Yupeng, Curley, Erin, Cutcutache, Ioana, Czajka, Karolina, Czerniak, Bogdan, Dagg, Rebecca A, Danilova, Ludmila, Davi, Maria Vittoria, Davidson, Natalie R, Davies, Helen, Davis, Ian J, Davis-Dusenbery, Brandi N, Dawson, Kevin J, De La Vega, Francisco M, De Paoli-Iseppi, Ricardo, Defreitas, Timothy, Dei Tos, Angelo P, Delaneau, Olivier, Demchok, John A, Demeulemeester, Jonas, Demidov, German M, Demircioğlu, Deniz, Dennis, Nening M, Denroche, Robert E, Dentro, Stefan C, Desai, Nikita, Deshwar, Amit G, Desmedt, Christine, Deu-Pons, Jordi, Dhalla, Noreen, Dhani, Neesha C, Dhingra, Priyanka, Dhir, Rajiv, DiBiase, Anthony, Diamanti, Klev, Ding, Li, Ding, Shuai, Dinh, Huy Q, Dirix, Luc, Doddapaneni, HarshaVardhan, Donmez, Nilgun, Dow, Michelle T, Drapkin, Ronny, Drechsel, Oliver, Drews, Ruben M, Serge, Serge, Dudderidge, Tim, Dueso-Barroso, Ana, Dunford, Andrew J, Dunn, Michael, Dursi, Lewis Jonathan, Duthie, Fraser R, Dutton-Regester, Ken, Eagles, Jenna, Easton, Douglas F, Edmonds, Stuart, Edwards, Paul A, Edwards, Sandra E, Eeles, Rosalind A, Ehinger, Anna, Eils, Juergen, Eils, Roland, El-Naggar, Adel, Eldridge, Matthew, Ellrott, Kyle, Erkek, Serap, Escaramis, Georgia, Espiritu, Shadrielle MG, Estivill, Xavier, Etemadmoghadam, Dariush, Eyfjord, Jorunn E, Fan, Daiming, Fan, Yu, Farcas, Claudiu, Fassan, Matteo, Fatima, Aquila, Favero, Francesco, Fayzullaev, Nodirjon, Felau, Ina, Fereday, Sian, Ferguson, Martin L, Ferretti, Vincent, Feuerbach, Lars, Field, Matthew A, Fink, J Lynn, Finocchiaro, Gaetano, Fisher, Cyril, Fittall, Matthew W, Fitzgerald, Anna, Fitzgerald, Rebecca C, Flanagan, Adrienne M, Fleshner, Neil E, Flicek, Paul, Foekens, John A, Fong, Kwun M, Fonseca, Nuno A, Foster, Christopher S, Fox, Natalie S, Fraser, Michael, Frazer, Scott, Frenkel-Morgenstern, Milana, Friedman, William, Frigola, Joan, Fronick, Catrina C, Fujimoto, Akihiro, Fujita, Masashi, Fukayama, Masashi, Fulton, Lucinda A, Fulton, Robert S, Furuta, Mayuko, Futreal, P Andrew, Füllgrabe, Anja, Gabriel, Stacey B, Gallinger, Steven, Gambacorti-Passerini, Carlo, Gao, Jianjiong, Gao, Shengjie, Garred, Øystein, Garrison, Erik, Garsed, Dale W, Gehlenborg, Nils, Gelpi, Josep LL, George, Joshy, Gerhard, Daniela S, Gerhauser, Clarissa, Gershenwald, Jeffrey E, Gerstein, Mark, Gerstung, Moritz, Ghori, Mohammed, Ghossein, Ronald, Giama, Nasra H, Gibbs, Richard A, Gibson, Bob, Gill, Anthony J, Gill, Pelvender, Giri, Dilip D, Glodzik, Dominik, Gnanapragasam, Vincent J, Goebler, Maria Elisabeth, Goldman, Mary J, Gomez, Carmen, Gonzalez, Santiago, Gonzalez-Perez, Abel, Gordenin, Dmitry A, Gossage, James, Gotoh, Kunihito, Govindan, Ramaswamy, Grabau, Dorthe, Graham, Janet S, Grant, Robert C, Green, Anthony R, Green, Eric, Greger, Liliana, Grehan, Nicola, Grimaldi, Sonia, Grossman, Robert L, Grundhoff, Adam, Gundem, Gunes, Guo, Qianyun, Gupta, Manaswi, Gupta, Shailja, Gut, Ivo G, Gut, Marta, Göke, Jonathan, Ha, Gavin, Haake, Andrea, Haan, David, Haas, Siegfried, Haase, Kerstin, Haber, James E, Habermann, Nina, Hach, Faraz, Hama, Natsuko, Hamdy, Freddie C, Hamilton, Anne, Hamilton, Mark P, Han, Leng, Hanna, George B, Hansmann, Martin, Haradhvala, Nicholas J, Harismendy, Olivier, Harliwong, Ivon, Harmanci, Arif O, Harrington, Eoghan, Hasegawa, Takanori, Haussler, David, Hawkins, Steve, Hayami, Shinya, Hayashi, Shuto, Hayes, D Neil, Hayes, Stephen J, Hayward, Nicholas K, Hazell, Steven, He, Yao, Heath, Allison P, Heath, Simon C, Hedley, David, Hegde, Apurva M, Heiman, David I, Heinold, Michael C, Heins, Zachary, Heisler, Lawrence E, Hellstrom-Lindberg, Eva, Helmy, Mohamed, Heo, Seong Gu, Hepperla, Austin J, Heredia-Genestar, José María, Herrmann, Carl, Hersey, Peter, Hess, Julian M, Hilmarsdottir, Holmfridur, Hinton, Jonathan, Hirano, Satoshi, Hiraoka, Nobuyoshi, Hobolth, Asger, Hodzic, Ermin, Hoell, Jessica I, Hoffmann, Steve, Hofmann, Oliver, Holbrook, Andrea, Holik, Aliaksei Z, Hollingsworth, Michael A, Holmes, Oliver, Holt, Robert A, Hong, Chen, Hong, Eun Pyo, Hong, Jongwhi H, Hooijer, Gerrit K, Hornshøj, Henrik, Hosoda, Fumie, Hou, Yong, Hovestadt, Volker, Howat, William, Hoyle, Alan P, Hruban, Ralph H, Hu, Jianhong, Hu, Taobo, Hua, Xing, Huang, Kuan-lin, Huang, Mei, Huang, Mi Ni, Huang, Vincent, Huang, Yi, Huber, Wolfgang, Hudson, Thomas J, Hummel, Michael, Hung, Jillian A, Huntsman, David, Hupp, Ted R, Huse, Jason, Huska, Matthew R, Hutter, Barbara, Hutter, Carolyn M, Hübschmann, Daniel, Iacobuzio-Donahue, Christine A, Imbusch, Charles David, Imielinski, Marcin, Imoto, Seiya, Isaacs, William B, Isaev, Keren, Ishikawa, Shumpei, Iskar, Murat, Islam, SM Ashiqul, Ittmann, Michael, Ivkovic, Sinisa, Izarzugaza, Jose MG, Jacquemier, Jocelyne, Jakrot, Valerie, Jamieson, Nigel B, Jang, Gun Ho, Jang, Se Jin, Jayaseelan, Joy C, Jayasinghe, Reyka, Jefferys, Stuart R, Jegalian, Karine, Jennings, Jennifer L, Jeon, Seung-Hyup, Jerman, Lara, Ji, Yuan, Johansson, Peter A, Johns, Amber L, Johns, Jeremy, Johnson, Rory, Johnson, Todd A, Jolly, Clemency, Joly, Yann, Jonasson, Jon G, Jones, Corbin D, Jones, David R, Jones, David TW, Jones, Nic, Jones, Steven JM, Jonkers, Jos, Ju, Young Seok, Juhl, Hartmut, Jung, Jongsun, Juul, Malene, Juul, Randi Istrup, Juul, Sissel, Jäger, Natalie, Kabbe, Rolf, Kahles, Andre, Kahraman, Abdullah, Kakavand, Hojabr, Kalimuthu, Sangeetha, von Kalle, Christof, Kang, Koo Jeong, Karaszi, Katalin, Karlan, Beth, Karlić, Rosa, Karsch, Dennis, Kasaian, Katayoon, Kassahn, Karin S, Katai, Hitoshi, Katoh, Hiroto, Kawakami, Yoshiiku, Kay, Jonathan D, Kazakoff, Stephen H, Kazanov, Marat D, Keays, Maria, Kebebew, Electron, Kefford, Richard F, Kellis, Manolis, Kench, James G, Kennedy, Catherine J, Kerssemakers, Jules NA, Khoo, David, Khoo, Vincent, Khuntikeo, Narong, Khurana, Ekta, Kilpinen, Helena, Kim, Hark Kyun, Kim, Hyung-Lae, Kim, Hyung-Yong, Kim, Hyunghwan, Kim, Jaegil, Kim, Jihoon, Kim, Jong K, Kim, Youngwook, King, Tari A, Klapper, Wolfram, Kleinheinz, Kortine, Klimczak, Leszek J, Knappskog, Stian, Kneba, Michael, Knoppers, Bartha M, Koh, Youngil, Komorowski, Jan, Komura, Daisuke, Komura, Mitsuhiro, Kong, Gu, Kool, Marcel, Korbel, Jan O, Korchina, Viktoriya, Korshunov, Andrey, Koscher, Michael, Koster, Roelof, Kote-Jarai, Zsofia, Koures, Antonios, Kovacevic, Milena, Kremeyer, Barbara, Kretzmer, Helene, Kreuz, Markus, Krishnamurthy, Savitri, Kube, Dieter, Kumar, Kiran, Kumar, Pardeep, Kumar, Sushant, Kumar, Yogesh, Kundra, Ritika, Küppers, Ralf, Lagergren, Jesper, Lai, Phillip H, Laird, Peter W, Lakhani, Sunil R, Lalansingh, Christopher M, Lalonde, Emilie, Lamaze, Fabien C, Lambert, Adam, Lander, Eric, Landgraf, Pablo, Landoni, Luca, Langerød, Anita, Lanzós, Andrés, Larsimont, Denis, Larsson, Erik, Lathrop, Mark, Lau, Loretta MS, Lawerenz, Chris, Lawlor, Rita T, Lawrence, Michael S, Lazic, Ana Mijalkovic, Le, Xuan, Lee, Darlene, Lee, Donghoon, Lee, Eunjung Alice, Lee, Hee Jin, Lee, Jake June-Koo, Lee, Jeong-Yeon, Lee, Juhee, Lee, Ming Ta Michael, Lee-Six, Henry, Lehmann, Kjong-Van, Lehrach, Hans, Lenze, Dido, Leonard, Conrad R, Leongamornlert, Daniel A, Leshchiner, Ignaty, Letourneau, Louis, Letunic, Ivica, Levine, Douglas A, Lewis, Lora, Ley, Tim, Li, Chang, Li, Haiyan Irene, Li, Jun, Li, Lin, Li, Shantao, Li, Siliang, Li, Xiaobo, Li, Xiaotong, Li, Xinyue, Li, Yilong, Liang, Han, Liang, Sheng-Ben, Lichter, Peter, Lin, Pei, Lin, Ziao, Linehan, WM, Lingjærde, Ole Christian, Liu, Dongbing, Liu, Eric Minwei, Liu, Fei-Fei Fei, Liu, Fenglin, Liu, Jia, Liu, Xingmin, Livingstone, Julie, Livitz, Dimitri, Livni, Naomi, Lochovsky, Lucas, Loeffler, Markus, Long, Georgina V, Lopez-Guillermo, Armando, Lou, Shaoke, Lovat, Laurence B, Lu, Yiling, Lu, Yong-Jie, Lu, Youyong, Luchini, Claudio, Lungu, Ilinca, Luo, Xuemei, Luxton, Hayley J, Lynch, Andy G, Lype, Lisa, López, Cristina, López-Otín, Carlos, Z, Eric, Ma, Yussanne, MacGrogan, Gaetan, MacRae, Shona, Macintyre, Geoff, Madsen, Tobias, Maejima, Kazuhiro, Mafficini, Andrea, Maglinte, Dennis T, Maitra, Arindam, Majumder, Partha P, Malcovati, Luca, Malikic, Salem, Malleo, Giuseppe, Mann, Graham J, Mantovani-Löffler, Luisa, Marchal, Kathleen, Marchegiani, Giovanni, Mardis, Elaine R, Margolin, Adam A, Marin, Maximillian G, Markowetz, Florian, Markowski, Julia, Marks, Jeffrey, Marques-Bonet, Tomas, Marra, Marco A, Marsden, Luke, Martens, John WM, Martin-Subero, Jose I, Martincorena, Iñigo, 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Deurzen, Carolien HM, van de Vijver, Marc J, Veer, L van’t, and von Mering, Christian
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
In cancer, the primary tumour’s organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected in whole genome sequencing (WGS) of 2606 tumours representing 24 common cancer types produced by the PCAWG Consortium. Our classifier achieves an accuracy of 91% on held-out tumor samples and 88% and 83% respectively on independent primary and metastatic samples, roughly double the accuracy of trained pathologists when presented with a metastatic tumour without knowledge of the primary. Surprisingly, adding information on driver mutations reduced accuracy. Our results have clinical applicability, underscore how patterns of somatic passenger mutations encode the state of the cell of origin, and can inform future strategies to detect the source of circulating tumour DNA.
- Published
- 2023
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10. Combined burden and functional impact tests for cancer driver discovery using DriverPower
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features derived from public sources, DriverPower’s background mutation model explains up to 93% of the regional variance in the mutation rate across multiple tumour types. By incorporating functional impact scores, we are able to further increase the accuracy of driver discovery. Testing across a collection of 2583 cancer genomes from the PCAWG project, DriverPower identifies 217 coding and 95 non-coding driver candidates. Comparing to six published methods used by the PCAWG Drivers and Functional Interpretation Working Group, DriverPower has the highest F1 score for both coding and non-coding driver discovery. This demonstrates that DriverPower is an effective framework for computational driver discovery.
- Published
- 2023
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11. Integrative pathway enrichment analysis of multivariate omics data
- Author
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Paczkowska, Marta, Barenboim, Jonathan, Sintupisut, Nardnisa, Fox, Natalie S, Zhu, Helen, Abd-Rabbo, Diala, Mee, Miles W, Boutros, Paul C, Abascal, Federico, Amin, Samirkumar B, Bader, Gary D, Beroukhim, Rameen, Bertl, Johanna, Boroevich, Keith A, Brunak, Søren, Campbell, Peter J, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Chen, Ken, Choi, Jung Kyoon, Deu-Pons, Jordi, Dhingra, Priyanka, Diamanti, Klev, Feuerbach, Lars, Fink, J Lynn, Fonseca, Nuno A, Frigola, Joan, Gambacorti-Passerini, Carlo, Garsed, Dale W, Gerstein, Mark, Getz, Gad, Gonzalez-Perez, Abel, Guo, Qianyun, Gut, Ivo G, Haan, David, Hamilton, Mark P, Haradhvala, Nicholas J, Harmanci, Arif O, Helmy, Mohamed, Herrmann, Carl, Hess, Julian M, Hobolth, Asger, Hodzic, Ermin, Hong, Chen, Hornshøj, Henrik, Isaev, Keren, Izarzugaza, Jose MG, Johnson, Rory, Johnson, Todd A, Juul, Malene, Juul, Randi Istrup, Kahles, Andre, Kahraman, Abdullah, Kellis, Manolis, Khurana, Ekta, Kim, Jaegil, Kim, Jong K, Kim, 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Vijver, Marc J, and Veer, L van’t
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
Multi-omics datasets represent distinct aspects of the central dogma of molecular biology. Such high-dimensional molecular profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion, rationalizes contributing evidence and highlights associated genes. As part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we integrated genes with coding and non-coding mutations and revealed frequently mutated pathways and additional cancer genes with infrequent mutations. We also analyzed prognostic molecular pathways by integrating genomic and transcriptomic features of 1780 breast cancers and highlighted associations with immune response and anti-apoptotic signaling. Integration of ChIP-seq and RNA-seq data for master regulators of the Hippo pathway across normal human tissues identified processes of tissue regeneration and stem cell regulation. ActivePathways is a versatile method that improves systems-level understanding of cellular organization in health and disease through integration of multiple molecular datasets and pathway annotations.
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- 2023
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12. Pathway and network analysis of more than 2500 whole cancer genomes
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding mutations, most notably TERT promoter mutations, have been reported. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancer across 38 tumor types, we perform multi-faceted pathway and network analyses of non-coding mutations across 2583 whole cancer genomes from 27 tumor types compiled by the ICGC/TCGA PCAWG project that was motivated by the success of pathway and network analyses in prioritizing rare mutations in protein-coding genes. While few non-coding genomic elements are recurrently mutated in this cohort, we identify 93 genes harboring non-coding mutations that cluster into several modules of interacting proteins. Among these are promoter mutations associated with reduced mRNA expression in TP53, TLE4, and TCF4. We find that biological processes had variable proportions of coding and non-coding mutations, with chromatin remodeling and proliferation pathways altered primarily by coding mutations, while developmental pathways, including Wnt and Notch, altered by both coding and non-coding mutations. RNA splicing is primarily altered by non-coding mutations in this cohort, and samples containing non-coding mutations in well-known RNA splicing factors exhibit similar gene expression signatures as samples with coding mutations in these genes. These analyses contribute a new repertoire of possible cancer genes and mechanisms that are altered by non-coding mutations and offer insights into additional cancer vulnerabilities that can be investigated for potential therapeutic treatments.
- Published
- 2023
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13. Divergent mutational processes distinguish hypoxic and normoxic tumours
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
Many primary tumours have low levels of molecular oxygen (hypoxia), and hypoxic tumours respond poorly to therapy. Pan-cancer molecular hallmarks of tumour hypoxia remain poorly understood, with limited comprehension of its associations with specific mutational processes, non-coding driver genes and evolutionary features. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we quantify hypoxia in 1188 tumours spanning 27 cancer types. Elevated hypoxia associates with increased mutational load across cancer types, irrespective of underlying mutational class. The proportion of mutations attributed to several mutational signatures of unknown aetiology directly associates with the level of hypoxia, suggesting underlying mutational processes for these signatures. At the gene level, driver mutations in TP53, MYC and PTEN are enriched in hypoxic tumours, and mutations in PTEN interact with hypoxia to direct tumour evolutionary trajectories. Overall, hypoxia plays a critical role in shaping the genomic and evolutionary landscapes of cancer.
- Published
- 2023
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14. Genomic footprints of activated telomere maintenance mechanisms in cancer
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Okusaka, Takuji, Omberg, Larsson, Ong, Choon Kiat, Ott, German, Ouellette, BF Francis, P’ng, Christine, Paczkowska, Marta, Paiella, Salvatore, Pairojkul, Chawalit, Pajic, Marina, Pan-Hammarström, Qiang, Papaemmanuil, Elli, Papatheodorou, Irene, Paramasivam, Nagarajan, Park, Ji Wan, Park, Joong-Won, Park, Keunchil, Park, Kiejung, Parker, Joel S, Parsons, Simon L, Pass, Harvey, Pasternack, Danielle, Pastore, Alessandro, Patch, Ann-Marie, Pauporté, Iris, Pea, Antonio, Pedamallu, Chandra Sekhar, Pedersen, Jakob Skou, Pederzoli, Paolo, Peifer, Martin, Pennell, Nathan A, Perou, Charles M, Perry, Marc D, Petersen, Gloria M, Peto, Myron, Petrelli, Nicholas, Petryszak, Robert, Pfister, Stefan M, Phillips, Mark, Pich, Oriol, Pickett, Hilda A, Pihl, Todd D, Pillay, Nischalan, Pinder, Sarah, Pinese, Mark, Pinho, Andreia V, Pitkänen, Esa, Pivot, Xavier, Piñeiro-Yáñez, Elena, Planko, Laura, Plass, Christoph, Polak, Paz, Pons, Tirso, Popescu, Irinel, Potapova, Olga, Prasad, Aparna, Preston, Shaun R, 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Christian
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Human Biology & Physiology ,Ecology,Evolution & Ethology ,Tumour Biology ,Genetics & Genomics ,Structural Biology & Biophysics ,Computational & Systems Biology - Abstract
Cancers require telomere maintenance mechanisms for unlimited replicative potential. They achieve this through TERT activation or alternative telomere lengthening associated with ATRX or DAXX loss. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we dissect whole-genome sequencing data of over 2500 matched tumor-control samples from 36 different tumor types aggregated within the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium to characterize the genomic footprints of these mechanisms. While the telomere content of tumors with ATRX or DAXX mutations (ATRX/DAXXtrunc) is increased, tumors with TERT modifications show a moderate decrease of telomere content. One quarter of all tumor samples contain somatic integrations of telomeric sequences into non-telomeric DNA. This fraction is increased to 80% prevalence in ATRX/DAXXtrunc tumors, which carry an aberrant telomere variant repeat (TVR) distribution as another genomic marker. The latter feature includes enrichment or depletion of the previously undescribed singleton TVRs TTCGGG and TTTGGG, respectively. Our systematic analysis provides new insight into the recurrent genomic alterations associated with telomere maintenance mechanisms in cancer.
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- 2023
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15. Formant-Frequency Variation and Its Effects on Across-Formant Grouping in Speech Perception
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Roberts, Brian, Summers, Robert J., Bailey, Peter J., Moore, Brian C. J., editor, Patterson, Roy D., editor, Winter, Ian M., editor, Carlyon, Robert P., editor, and Gockel, Hedwig E, editor
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- 2013
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16. Effects of stimulus naturalness and contralateral interferers on lexical bias in consonant identification
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Roberts, Brian, Summers, Robert J., Bailey, Peter J., Roberts, Brian, Summers, Robert J., and Bailey, Peter J.
- Abstract
Lexical bias is the tendency to perceive an ambiguous speech sound as a phoneme completing a word; more ambiguity typically causes greater reliance on lexical knowledge. A speech sound ambiguous between /g/ and /k/ is more likely to be perceived as /g/ before /Ift/ and as /k/ before /Is/. The magnitude of this difference—the Ganong shift—increases when high cognitive load limits available processing resources. The effects of stimulus naturalness and informational masking on Ganong shifts and reaction times were explored. Tokens between /gI/ and /kI/ were generated using morphing software, from which two continua were created (“giss”–“kiss” and “gift”–“kift”). In experiment 1, Ganong shifts were considerably larger for sine- than noise-vocoded versions of these continua, presumably because the spectral sparsity and unnatural timbre of the former increased cognitive load. In experiment 2, noise-vocoded stimuli were presented alone or accompanied by contralateral interferers with constant within-band amplitude envelope, or within-band envelope variation that was the same or different across bands. The latter, with its implied spectro-temporal variation, was predicted to cause the greatest cognitive load. Reaction-time measures matched this prediction; Ganong shifts showed some evidence of greater lexical bias for frequency-varying interferers, but were influenced by context effects and diminished over time.
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- 2022
17. Informational masking and the effects of differences in fundamental frequency and fundamental-frequency contour on phonetic integration in a formant ensemble
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Summers, Robert J., Bailey, Peter J., and Roberts, Brian
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- 2017
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18. Dissociations between Serial Position and Number of Letters Effects in Lateralised Visual Word Recognition
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Lavidor, Michal and Bailey, Peter J.
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Some previous studies of visual word recognition have reported an interaction between visual field and word length (measured by number of letters), such that recognition is affected more by word length for words presented in the left than for words presented in the right visual field. However, when manipulating serial position of letters in words to measure length effects, there are also reports of symmetrical word length effects in the two visual fields. Here we report two experiments, presenting four- and seven-letter words, suggesting that the serial position and length effects in the hemispheres are separable and task dependent. For tasks that rely more heavily on letter-level processing such as letter search (Experiment 1), performance in both hemifields showed similar effects of serial position; however, when comparing four- and seven-letter words, an effect of word length was evident only in the left visual field, in line with the well-established interaction between word length and hemifield. An interaction between word length and hemifield was confirmed for the same stimuli when they were employed in a lexical decision task, which forced whole-word processing (Experiment 2). We conclude that the effects of serial position and number of letters in the two visual fields are separable, and are selectively affected by task type.
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- 2005
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19. Whole–genome characterization of chemoresistant ovarian cancer
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Patch, Ann-Marie, Christie, Elizabeth L., Etemadmoghadam, Dariush, Garsed, Dale W., George, Joshy, Fereday, Sian, Nones, Katia, Cowin, Prue, Alsop, Kathryn, Bailey, Peter J., Kassahn, Karin S., Newell, Felicity, Quinn, Michael C. J., Kazakoff, Stephen, Quek, Kelly, Wilhelm-Benartzi, Charlotte, Curry, Ed, Leong, Huei San, Hamilton, Anne, Mileshkin, Linda, Au-Yeung, George, Kennedy, Catherine, Hung, Jillian, Chiew, Yoke-Eng, Harnett, Paul, Friedlander, Michael, Quinn, Michael, Pyman, Jan, Cordner, Stephen, O’Brien, Patricia, Leditschke, Jodie, Young, Greg, Strachan, Kate, Waring, Paul, Azar, Walid, Mitchell, Chris, Traficante, Nadia, Hendley, Joy, Thorne, Heather, Shackleton, Mark, Miller, David K., Arnau, Gisela Mir, Tothill, Richard W., Holloway, Timothy P., Semple, Timothy, Harliwong, Ivon, Nourse, Craig, Nourbakhsh, Ehsan, Manning, Suzanne, Idrisoglu, Senel, Bruxner, Timothy J. C., Christ, Angelika N., Poudel, Barsha, Holmes, Oliver, Anderson, Matthew, Leonard, Conrad, Lonie, Andrew, Hall, Nathan, Wood, Scott, Taylor, Darrin F., Xu, Qinying, Fink, J. Lynn, Waddell, Nick, Drapkin, Ronny, Stronach, Euan, Gabra, Hani, Brown, Robert, Jewell, Andrea, Nagaraj, Shivashankar H., Markham, Emma, Wilson, Peter J., Ellul, Jason, McNally, Orla, Doyle, Maria A., Vedururu, Ravikiran, Stewart, Collin, Lengyel, Ernst, Pearson, John V., Waddell, Nicola, deFazio, Anna, Grimmond, Sean M., and Bowtell, David D. L.
- Published
- 2015
- Full Text
- View/download PDF
20. Effects of stimulus naturalness and contralateral interferers on lexical bias in consonant identification
- Author
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Roberts, Brian, primary, Summers, Robert J., additional, and Bailey, Peter J., additional
- Published
- 2022
- Full Text
- View/download PDF
21. Editorial: Translational Insights Into Pancreatic Ductal Adenocarcinoma
- Author
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Bijlsma, Maarten F., primary, Bailey, Peter J., additional, and Stemmler, Marc P., additional
- Published
- 2022
- Full Text
- View/download PDF
22. Auditory Temporal Order Discrimination and Backward Recognition Masking in Adults with Dyslexia
- Author
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Griffiths, Yvonne M., Hill, Nicholas I., and Bailey, Peter J.
- Abstract
The ability of 20 adult dyslexic readers to extract frequency information from successive tone pairs was compared with that of IQ-matched controls using temporal order discrimination and auditory backward recognition masking (ABRM) tasks. In both paradigms, the interstimulus interval (ISI) between tones in a pair was either short (20 ms) or long (200 ms). Temporal order discrimination was better for both groups of listeners at long than at short ISIs, but no group differences in performance were observed at either ISI. Performance on the ABRM task was also better at long than at short ISIs and was influenced by variability in masker frequency and by the spectral proximity of target and masker. The only significant group difference was found in one condition of the ABRM task when the target-masker interval was 200 ms, but this difference was not reliable when the measure was of optimal performance. Moderate correlations were observed between auditory thresholds and phonological skill for the sample as a whole and within the dyslexic and control groups. However, although a small subgroup of dyslexic listeners with poor phonology was characterized by elevated thresholds across the auditory tasks, evidence for an association between auditory and phonological processing skills was weakened by the finding of a subgroup of control listeners with poor auditory processing and normal phonological processing skills.
- Published
- 2003
- Full Text
- View/download PDF
23. Epilogue
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
24. That Voodoo That You Do So Well
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
25. Let’s Just Live It
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
26. Life Stand Still Here
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
27. If You Want a Hollywood Ending
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
28. Woody’s Mild Jewish Rose
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
29. That Old Black Magic
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
30. In the Stardust of a Song
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
31. The Fine Art of Living Well
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
32. Because It’s Real Difficult in Life
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
33. “People Reinvent Themselves, Don’t They?”
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
34. Rear Condo
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
35. Everyone Loves Her/His Illusions
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
36. The Heart Still Wants What it Wants
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
37. Allen and His Audience
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
38. How We Choose to Distort It
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
39. Art and Idealization
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
40. Strictly the Movies
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
41. Poetic License, Bullshit
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
42. Confrontation and Escape
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
43. And What a Perfect Plot
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
44. The Magic of Luck
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
45. Strictly the Movies II
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
46. From the Neck Up
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
47. Getting Serious
- Author
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Bailey, Peter J., primary
- Published
- 2016
- Full Text
- View/download PDF
48. The intelligibility of noise-vocoded speech: spectral information available from across-channel comparison of amplitude envelopes
- Author
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Roberts, Brian, Summers, Robert J., and Bailey, Peter J.
- Published
- 2011
49. Rapid Auditory Processing and Phonological Ability in Normal Readers and Readers with Dyslexia.
- Author
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Marshall, Catherine M., Snowling, Margaret J., and Bailey, Peter J.
- Abstract
Two studies explored the relationship between rapid auditory processing and phonological processing in 82 typical children and compared 17 children with dyslexia to controls. Children with dyslexia performed at a level similar to reading-age controls on auditory processing but obtained scores that were significantly below those of the chronological-age controls. (Contains references.) (Author/CR)
- Published
- 2001
50. Strictly the Movies: Play It Again, Sam
- Author
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Bailey, Peter J., author
- Published
- 2016
- Full Text
- View/download PDF
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