14 results on '"Paull, Evan O"'
Search Results
2. Comprehensive molecular characterization of urothelial bladder carcinoma
- Author
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Weinstein, John N., Akbani, Rehan, Broom, Bradley M., Wang, Wenyi, Verhaak, Roeland G. W., McConkey, David, Lerner, Seth, Morgan, Margaret, Creighton, Chad J., Smith, Carolyn, Kwiatkowski, David J., Cherniack, Andrew D., Kim, Jaegil, Pedamallu, Chandra Sekhar, Noble, Michael S., Al-Ahmadie, Hikmat A., Reuter, Victor E., Rosenberg, Jonathan E., Bajorin, Dean F., Bochner, Bernard H., Solit, David B., Koppie, Theresa, Robinson, Brian, Gordenin, Dmitry A., Fargo, David, Klimczak, Leszek J., Roberts, Steven A., Au, Jessie, Laird, Peter W., Hinoue, Toshinori, Schultz, Nikolaus, Ramirez, Ricardo, Hansel, Donna, Hoadley, Katherine A., Kim, William Y., Damrauer, Jeffrey S., Baylin, Stephen B., Mungall, Andrew J., Robertson, Gordon A., Chu., Andy, Sougnez, Carrie, Cibulskis, Kristian, Lichtenstein, Lee, Sivachenko, Andrey, Stewart, Chip, Lawrence, Michael S., Getz, Gad, Lander, Eric, Gabriel., Stacey B., Donehower, Lawrence, Carter, Scott L., Saksena, Gordon, Schumacher, Steven E., Freeman, Samuel S., Jung, Joonil, Bhatt, Ami S., Pugh, Trevor, Beroukhim, Rameen, Gabriel, Stacey B., Meyerson, Matthew, Chu, Andy, Ally, Adrian, Balasundaram, Miruna, Butterfield, Yaron S. N., Dhalla, Noreen, Hirst, Carrie, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan I., Marra, Marco A., Mayo, Michael, Moore, Richard A., Schein, Jacqueline E., Sipahimalani, Payal, Tam, Angela, Thiessen, Nina, Wong, Tina, Wye, Natasja, Bowlby, Reanne, Chuah, Eric, Guin, Ranabir, Shen, Hui, Bootwalla, Moiz S., Jr, Timothy Triche, Lai, Phillip H., Van Den Berg, David J., Weisenberger, Daniel J., Balu, Saianand, Bodenheimer, Tom, Damrauer Alan P. Hoyle, Jeffrey S., Jefferys, Stuart R., Meng, Shaowu, Mose, Lisle E., Simons, Janae V., Soloway, Mathew G., Wu, Junyuan, Parker, Joel S., Hayes, Neil D., Roach, Jeffrey, Buda, Elizabeth, Jones, Corbin D., Mieczkowski, Piotr A., Tan, Donghui, Veluvolu, Umadevi, Waring, Scot, Auman, Todd J., Perou, Charles M., Wilkerson, Matthew D., Santoso, Netty, Parfenov, Michael, Ren, Xiaojia, Pantazi, Angeliki, Hadjipanayis, Angela, Seidman, Jonathan, Kucherlapati, Raju, Lee, Semin, Yang, Lixing, Park, Peter J., Xu, Andrew Wei, Protopopov, Alexei, Zhang, Jianhua, Bristow, Christopher, Mahadeshwar, Harshad S., Seth, Sahil, Song, Xingzhi, Tang, Jiabin, Zeng, Dong, Chin, Lynda, Guo, Charles, Casasent, Tod D., Liu, Wenbin, Ju, Zhenlin, Motter, Thomas, Peng, Bo, Ryan, Michael, Su, Xiaoping, Yang, Ji-Yeon, Lorenzi, Philip L., Yao, Hui, Zhang, Nianxiang, Zhang, Jiexin, Mills, Gordon B., Cho, Juok, DiCara, Daniel, Frazer, Scott, Gehlenborg, Nils, Heiman, David I., Lin, Pei, Liu, Yingchun, Stojanov, Petar, Voet, Doug, Zhang, Hailei, Zou, Lihua, Bernard, Brady, Kreisberg, Dick, Reynolds, Sheila, Rovira, Hector, Shmulevich, Ilya, Gao, Jianjiong, Jacobsen, Anders, Aksoy, Arman B., Antipin, Yevgeniy, Ciriello, Giovanni, Dresdner, Gideon, Gross, Benjamin, Lee, William, Reva, Boris, Shen, Ronglai, Sinha, Rileen, Sumer, Onur S., Weinhold, Nils, Ladanyi, Marc, Sander, Chris, Benz, Christopher, Carlin, Daniel, Haussler, David, Ng, Sam, Paull, Evan O., Stuart, Joshua, Zhu, Jing, Liu, Yuexin, Zhang, Wei, Taylor, Barry S., Lichtenberg, Tara M., Zmuda, Erik, Barr, Thomas, Black, Aaron D., George, Myra, Hanf, Benjamin, Helsel, Carmen, McAllister, Cynthia, Ramirez, Nilsa C., Tabler, Teresa R., Weaver, Stephanie, Wise, Lisa, Bowen, Jay, Gastier-Foster, Julie M., Jian, Weiguo, Tello, Sebrina, Ittman, Michael, Castro, Patricia, McClenden, Whitney D., Gibbs, Richard, Saller, Charles, Tarvin, Katherine, DiPiero, Jennifer M., Owens, Jennifer, Bollag, Roni, Li, Qiang, Weinberger, Paul, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Iacocca, Mary, Petrelli, Nicholas, Rabeno, Brenda, Swanson, Pat, Shelton, Troy, Curley, Erin, Gardner, Johanna, Mallery, David, Penny, Robert, Van Bang, Nguyen, Thi Hanh, Phan, Kohl, Bernard, Van Le, Xuan, Duc Phu, Bui, Thorp, Richard, Tien, Nguyen Viet, Vinh, Le Quang, Sandusky, George, Burks, Eric, Christ, Kimberly, Gee, Jason, Holway, Antonia, Moinzadeh, Alireza, Sorcini, Andrea, Sullivan, Travis, Garcia-Grossman, Ilana R., Regazzi, Ashley M., Boice, Lori, Rathmell, Wendy Kimryn, Thorne, Leigh, Bastacky, Sheldon, Davies, Benjamin, Dhir, Rajiv, Gingrich, Jeffrey, Hrebinko, Ronald, Maranchie, Jodi, Nelson, Joel, Parwani, Anil, Bshara, Wiam, Gaudioso, Carmelo, Morrison, Carl, Alexopoulou, Vina, Bartlett, John, Engel, Jay, Kodeeswaran, Sugy, Antic, Tatjana, O’Donnell, Peter H., Smith, Norm D., Steinberg, Gary D., Egea, Sophie, Gomez-Fernandez, Carmen, Herbert, Lynn, Jorda, Merce, Soloway, Mark, Beaver, Allison, Carter, Suzie, Kapur, Payal, Lewis, Cheryl, Lotan, Yair, Bondaruk, Jolanta, Czerniak, Bogdan, Skinner, Eila, Aldape, Kenneth, Jensen, Mark A., Kahn, Ari B., Pihl, Todd D., Pot, David A., Srinivasan, Deepak, Wan, Yunhu, Ferguson, Martin L., Zenklusen, Jean Claude, Davidsen, Tanja, Demchok, John A., Mills Shaw, Kenna R., Sheth, Margi, Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Hutter, Carolyn, Ozenberger, Bradley A., Sofia, Heidi J., and Eley, Greg
- Published
- 2014
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3. Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE)
- Author
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Paull, Evan O., Carlin, Daniel E., Niepel, Mario, Sorger, Peter K., Haussler, David, and Stuart, Joshua M.
- Published
- 2013
- Full Text
- View/download PDF
4. Comprehensive molecular characterization of clear cell renal cell carcinoma
- Author
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Creighton, Chad J., Morgan, Margaret, Gunaratne, Preethi H., Wheeler, David A., Gibbs, Richard A., Robertson, Gordon A., Chu, Andy, Beroukhim, Rameen, Cibulskis, Kristian, Signoretti, Sabina, Hsin-Ta Wu, Fabio Vandin, Raphael, Benjamin J., Verhaak, Roel G. W., Tamboli, Pheroze, Torres-Garcia, Wandaliz, Akbani, Rehan, Weinstein, John N., Reuter, Victor, Hsieh, James J., Brannon, Rose A., Ari Hakimi, A., Jacobsen, Anders, Ciriello, Giovanni, Reva, Boris, Ricketts, Christopher J., Linehan, Marston W., Stuart, Joshua M., Rathmell, Kimryn W., Shen, Hui, Laird, Peter W., Muzny, Donna, Davis, Caleb, Xi, Liu, Chang, Kyle, Kakkar, Nipun, Treviño, Lisa R., Benton, Susan, Reid, Jeffrey G., Morton, Donna, Doddapaneni, Harsha, Han, Yi, Lewis, Lora, Dinh, Huyen, Kovar, Christie, Zhu, Yiming, Santibanez, Jireh, Wang, Min, Hale, Walker, Kalra, Divya, Getz, Gad, Lawrence, Michael S., Sougnez, Carrie, Carter, Scott L., Sivachenko, Andrey, Lichtenstein, Lee, Stewart, Chip, Voet, Doug, Fisher, Sheila, Gabriel, Stacey B., Lander, Eric, Schumacher, Steve E., Tabak, Barbara, Saksena, Gordon, Onofrio, Robert C., Cherniack, Andrew D., Gentry, Jeff, Ardlie, Kristin, Meyerson, Matthew, Chun, Hye-Jung E., Mungall, Andrew J., Sipahimalani, Payal, Stoll, Dominik, Ally, Adrian, Balasundaram, Miruna, Butterfield, Yaron S. N., Carlsen, Rebecca, Carter, Candace, Chuah, Eric, Coope, Robin J. N., Dhalla, Noreen, Gorski, Sharon, Guin, Ranabir, Hirst, Carrie, Hirst, Martin, Holt, Robert A., Lebovitz, Chandra, Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Pleasance, Erin, Plettner, Patrick, Schein, Jacqueline E., Shafiei, Arash, Slobodan, Jared R., Tam, Angela, Thiessen, Nina, Varhol, Richard J., Wye, Natasja, Zhao, Yongjun, Birol, Inanc, Jones, Steven J. M., Marra, Marco A., Auman, Todd J., Tan, Donghui, Jones, Corbin D., Hoadley, Katherine A., Mieczkowski, Piotr A., Mose, Lisle E., Jefferys, Stuart R., Topal, Michael D., Liquori, Christina, Turman, Yidi J., Shi, Yan, Waring, Scot, Buda, Elizabeth, Walsh, Jesse, Wu, Junyuan, Bodenheimer, Tom, Hoyle, Alan P., Simons, Janae V., Soloway, Mathew G., Balu, Saianand, Parker, Joel S., Hayes, Neil D., Perou, Charles M., Kucherlapati, Raju, Park, Peter, Triche, Timothy, Jr, Weisenberger, Daniel J., Lai, Phillip H., Bootwalla, Moiz S., Maglinte, Dennis T., Mahurkar, Swapna, Berman, Benjamin P., Van Den Berg, David J., Cope, Leslie, Baylin, Stephen B., Noble, Michael S., DiCara, Daniel, Zhang, Hailei, Cho, Juok, Heiman, David I., Gehlenborg, Nils, Mallard, William, Lin, Pei, Frazer, Scott, Stojanov, Petar, Liu, Yingchun, Zhou, Lihua, Kim, Jaegil, Chin, Lynda, Vandin, Fabio, Wu, Hsin-Ta, Benz, Christopher, Yau, Christina, Reynolds, Sheila M., Shmulevich, Ilya, Verhaak, Roel G.W., Vegesna, Rahul, Kim, Hoon, Zhang, Wei, Cogdell, David, Jonasch, Eric, Ding, Zhiyong, Lu, Yiling, Zhang, Nianxiang, Unruh, Anna K., Casasent, Tod D., Wakefield, Chris, Tsavachidou, Dimitra, Mills, Gordon B., Schultz, Nikolaus, Antipin, Yevgeniy, Gao, Jianjiong, Cerami, Ethan, Gross, Benjamin, Aksoy, Arman B., Sinha, Rileen, Weinhold, Nils, Sumer, Onur S., Taylor, Barry S., Shen, Ronglai, Ostrovnaya, Irina, Berger, Michael F., Ladanyi, Marc, Sander, Chris, Fei, Suzanne S., Stout, Andrew, Spellman, Paul T., Rubin, Daniel L., Liu, Tiffany T., Ng, Sam, Paull, Evan O., Carlin, Daniel, Goldstein, Theodore, Waltman, Peter, Ellrott, Kyle, Zhu, Jing, Haussler, David, Xiao, Weimin, Shelton, Candace, Gardner, Johanna, Penny, Robert, Sherman, Mark, Mallery, David, Morris, Scott, Paulauskis, Joseph, Burnett, Ken, Shelton, Troy, Kaelin, William G., Choueiri, Toni, Atkins, Michael B., Curley, Erin, Tickoo, Satish, Thorne, Leigh, Boice, Lori, Huang, Mei, Fisher, Jennifer C., Vocke, Cathy D., Peterson, James, Worrell, Robert, Merino, Maria J., Schmidt, Laura S., Czerniak, Bogdan A., Aldape, Kenneth D., Wood, Christopher G., Boyd, Jeff, Weaver, JoEllen, Iacocca, Mary V., Petrelli, Nicholas, Witkin, Gary, Brown, Jennifer, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Rabeno, Brenda, Myers, Jerome, Morrison, Carl, Bergsten, Julie, Eckman, John, Harr, Jodi, Smith, Christine, Tucker, Kelinda, Zach, Leigh Anne, Bshara, Wiam, Gaudioso, Carmelo, Dhir, Rajiv, Maranchie, Jodi, Nelson, Joel, Parwani, Anil, Potapova, Olga, Fedosenko, Konstantin, Cheville, John C., Thompson, Houston R., Mosquera, Juan M., Rubin, Mark A., Blute, Michael L., Pihl, Todd, Jensen, Mark, Sfeir, Robert, Kahn, Ari, Chu, Anna, Kothiyal, Prachi, Snyder, Eric, Pontius, Joan, Ayala, Brenda, Backus, Mark, Walton, Jessica, Baboud, Julien, Berton, Dominique, Nicholls, Matthew, Srinivasan, Deepak, Raman, Rohini, Girshik, Stanley, Kigonya, Peter, Alonso, Shelley, Sanbhadti, Rashmi, Barletta, Sean, Pot, David, Sheth, Margi, Demchok, John A., Davidsen, Tanja, Wang, Zhining, Yang, Liming, Tarnuzzer, Roy W., Zhang, Jiashan, Eley, Greg, Ferguson, Martin L., Mills Shaw, Kenna R., Guyer, Mark S., Ozenberger, Bradley A., and Sofia, Heidi J.
- Published
- 2013
- Full Text
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5. Comprehensive molecular portraits of human breast tumours
- Author
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Koboldt, Daniel C., Fulton, Robert S., McLellan, Michael D., Schmidt, Heather, Kalicki-Veizer, Joelle, McMichael, Joshua F., Fulton, Lucinda L., Dooling, David J., Ding, Li, Mardis, Elaine R., Wilson, Richard K., Ally, Adrian, Balasundaram, Miruna, Butterfield, Yaron S. N., Carlsen, Rebecca, Carter, Candace, Chu, Andy, Chuah, Eric, Chun, Hye-Jung E., Coope, Robin J. N., Dhalla, Noreen, Guin, Ranabir, Hirst, Carrie, Hirst, Martin, Holt, Robert A., Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Mungall, Andrew J., Pleasance, Erin, Gordon Robertson, A., Schein, Jacqueline E., Shafiei, Arash, Sipahimalani, Payal, Slobodan, Jared R., Stoll, Dominik, Tam, Angela, Thiessen, Nina, Varhol, Richard J., Wye, Natasja, Zeng, Thomas, Zhao, Yongjun, Birol, Inanc, Jones, Steven J. M., Marra, Marco A., Cherniack, Andrew D., Saksena, Gordon, Onofrio, Robert C., Pho, Nam H., Carter, Scott L., Schumacher, Steven E., Tabak, Barbara, Hernandez, Bryan, Gentry, Jeff, Nguyen, Huy, Crenshaw, Andrew, Ardlie, Kristin, Beroukhim, Rameen, Winckler, Wendy, Getz, Gad, Gabriel, Stacey B., Meyerson, Matthew, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Hoadley, Katherine A., Todd Auman, J., Fan, Cheng, Turman, Yidi J., Shi, Yan, Li, Ling, Topal, Michael D., He, Xiaping, Chao, Hann-Hsiang, Prat, Aleix, Silva, Grace O., Iglesia, Michael D., Zhao, Wei, Usary, Jerry, Berg, Jonathan S., Adams, Michael, Booker, Jessica, Wu, Junyuan, Gulabani, Anisha, Bodenheimer, Tom, Hoyle, Alan P., Simons, Janae V., Soloway, Matthew G., Mose, Lisle E., Jefferys, Stuart R., Balu, Saianand, Parker, Joel S., Neil Hayes, D., Perou, Charles M., Malik, Simeen, Mahurkar, Swapna, Shen, Hui, Weisenberger, Daniel J., Triche, Timothy, Jr, Lai, Phillip H., Bootwalla, Moiz S., Maglinte, Dennis T., Berman, Benjamin P., Van Den Berg, David J., Baylin, Stephen B., Laird, Peter W., Creighton, Chad J., Donehower, Lawrence A., Noble, Michael, Voet, Doug, Gehlenborg, Nils, DiCara, Daniel, Zhang, Juinhua, Zhang, Hailei, Wu, Chang-Jiun, Liu, Spring Yingchun, Lawrence, Michael S., Zou, Lihua, Sivachenko, Andrey, Lin, Pei, Stojanov, Petar, Jing, Rui, Cho, Juok, Sinha, Raktim, Park, Richard W., Nazaire, Marc-Danie, Robinson, Jim, Thorvaldsdottir, Helga, Mesirov, Jill, Reynolds, Sheila, Kreisberg, Richard B., Bernard, Brady, Bressler, Ryan, Erkkila, Timo, Lin, Jake, Thorsson, Vesteinn, Zhang, Wei, Shmulevich, Ilya, Ciriello, Giovanni, Weinhold, Nils, Schultz, Nikolaus, Gao, Jianjiong, Cerami, Ethan, Gross, Benjamin, Jacobsen, Anders, Sinha, Rileen, Arman Aksoy, B., Antipin, Yevgeniy, Reva, Boris, Shen, Ronglai, Taylor, Barry S., Ladanyi, Marc, Sander, Chris, Anur, Pavana, Spellman, Paul T., Lu, Yiling, Liu, Wenbin, Verhaak, Roel R. G., Mills, Gordon B., Akbani, Rehan, Zhang, Nianxiang, Broom, Bradley M., Casasent, Tod D., Wakefield, Chris, Unruh, Anna K., Baggerly, Keith, Coombes, Kevin, Weinstein, John N., Haussler, David, Benz, Christopher C., Stuart, Joshua M., Benz, Stephen C., Zhu, Jingchun, Szeto, Christopher C., Scott, Gary K., Yau, Christina, Paull, Evan O., Carlin, Daniel, Wong, Christopher, Sokolov, Artem, Thusberg, Janita, Mooney, Sean, Ng, Sam, Goldstein, Theodore C., Ellrott, Kyle, Grifford, Mia, Wilks, Christopher, Ma, Singer, Craft, Brian, Yan, Chunhua, Hu, Ying, Meerzaman, Daoud, Gastier-Foster, Julie M., Bowen, Jay, Ramirez, Nilsa C., Black, Aaron D., Pyatt, Robert E., White, Peter, Zmuda, Erik J., Frick, Jessica, Lichtenberg, Tara M., Brookens, Robin, George, Myra M., Gerken, Mark A., Harper, Hollie A., Leraas, Kristen M., Wise, Lisa J., Tabler, Teresa R., McAllister, Cynthia, Barr, Thomas, Hart-Kothari, Melissa, Tarvin, Katie, Saller, Charles, Sandusky, George, Mitchell, Colleen, Iacocca, Mary V., Brown, Jennifer, Rabeno, Brenda, Czerwinski, Christine, Petrelli, Nicholas, Dolzhansky, Oleg, Abramov, Mikhail, Voronina, Olga, Potapova, Olga, Marks, Jeffrey R., Suchorska, Wiktoria M., Murawa, Dawid, Kycler, Witold, Ibbs, Matthew, Korski, Konstanty, Spychała, Arkadiusz, Murawa, Paweł, Brzeziński, Jacek J., Perz, Hanna, Łaźniak, Radosław, Teresiak, Marek, Tatka, Honorata, Leporowska, Ewa, Bogusz-Czerniewicz, Marta, Malicki, Julian, Mackiewicz, Andrzej, Wiznerowicz, Maciej, Van Le, Xuan, Kohl, Bernard, Viet Tien, Nguyen, Thorp, Richard, Van Bang, Nguyen, Sussman, Howard, Duc Phu, Bui, Hajek, Richard, Phi Hung, Nguyen, Viet The Phuong, Tran, Quyet Thang, Huynh, Zaki Khan, Khurram, Penny, Robert, Mallery, David, Curley, Erin, Shelton, Candace, Yena, Peggy, Ingle, James N., Couch, Fergus J., Lingle, Wilma L., King, Tari A., Maria Gonzalez-Angulo, Ana, Dyer, Mary D., Liu, Shuying, Meng, Xiaolong, Patangan, Modesto, Waldman, Frederic, Stöppler, Hubert, Kimryn Rathmell, W., Thorne, Leigh, Huang, Mei, Boice, Lori, Hill, Ashley, Morrison, Carl, Gaudioso, Carmelo, Bshara, Wiam, Daily, Kelly, Egea, Sophie C., Pegram, Mark D., Gomez-Fernandez, Carmen, Dhir, Rajiv, Bhargava, Rohit, Brufsky, Adam, Shriver, Craig D., Hooke, Jeffrey A., Leigh Campbell, Jamie, Mural, Richard J., Hu, Hai, Somiari, Stella, Larson, Caroline, Deyarmin, Brenda, Kvecher, Leonid, Kovatich, Albert J., Ellis, Matthew J., Stricker, Thomas, White, Kevin, Olopade, Olufunmilayo, Luo, Chunqing, Chen, Yaqin, Bose, Ron, Chang, Li-Wei, Beck, Andrew H., Pihl, Todd, Jensen, Mark, Sfeir, Robert, Kahn, Ari, Chu, Anna, Kothiyal, Prachi, Wang, Zhining, Snyder, Eric, Pontius, Joan, Ayala, Brenda, Backus, Mark, Walton, Jessica, Baboud, Julien, Berton, Dominique, Nicholls, Matthew, Srinivasan, Deepak, Raman, Rohini, Girshik, Stanley, Kigonya, Peter, Alonso, Shelley, Sanbhadti, Rashmi, Barletta, Sean, Pot, David, Sheth, Margi, Demchok, John A., Mills Shaw, Kenna R., Yang, Liming, Eley, Greg, Ferguson, Martin L., Tarnuzzer, Roy W., Zhang, Jiashan, Dillon, Laura A. L., Buetow, Kenneth, Fielding, Peter, Ozenberger, Bradley A., Guyer, Mark S., Sofia, Heidi J., and Palchik, Jacqueline D.
- Published
- 2012
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6. The number of titrated microRNA species dictates ceRNA regulation.
- Author
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Chiu, Hua-Sheng, Martínez, María Rodríguez, . Komissarova, Elena V, Llobet-Navas, David, Bansal, Mukesh, Paull, Evan O, Silva, José, Yang, Xuerui, Sumazin, Pavel, and Califano, Andrea
- Published
- 2018
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7. Prophetic Granger Causality to infer gene regulatory networks.
- Author
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Carlin, Daniel E., Paull, Evan O., Graim, Kiley, Wong, Christopher K., Bivol, Adrian, Ryabinin, Peter, Ellrott, Kyle, Sokolov, Artem, and Stuart, Joshua M.
- Subjects
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GENE regulatory networks , *GRANGER causality test , *TIME series analysis , *BREAST cancer , *BIOINFORMATICS - Abstract
We introduce a novel method called Prophetic Granger Causality (PGC) for inferring gene regulatory networks (GRNs) from protein-level time series data. The method uses an L1-penalized regression adaptation of Granger Causality to model protein levels as a function of time, stimuli, and other perturbations. When combined with a data-independent network prior, the framework outperformed all other methods submitted to the HPN-DREAM 8 breast cancer network inference challenge. Our investigations reveal that PGC provides complementary information to other approaches, raising the performance of ensemble learners, while on its own achieves moderate performance. Thus, PGC serves as a valuable new tool in the bioinformatics toolkit for analyzing temporal datasets. We investigate the general and cell-specific interactions predicted by our method and find several novel interactions, demonstrating the utility of the approach in charting new tumor wiring. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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8. Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling.
- Author
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Niepel, Mario, Hafner, Marc, Qiaonan Duan, Zichen Wang, Paull, Evan O., Mirra Chung, Xiaodong Lu, Stuart, Joshua M., Golub, Todd R., Subramanian, Aravind, Ma’ayan, Avi, and Sorger, Peter K.
- Subjects
DRUG interactions ,CELL growth ,CELL lines ,SURVIVAL analysis (Biometry) ,KINASES ,CELL cycle - Abstract
More effective use of targeted anti-cancer drugs depends on elucidating the connection between the molecular states induced by drug treatment and the cellular phenotypes controlled by these states, such as cytostasis and death. This is particularly true when mutation of a single gene is inadequate as a predictor of drug response. The current paper describes a data set of ~600 drug cell line pairs collected as part of the NIH LINCS Program (http://www. lincsproject.org/) in which molecular data (reduced dimensionality transcript L1000 profiles) were recorded across dose and time in parallel with phenotypic data on cellular cytostasis and cytotoxicity. We report that transcriptional and phenotypic responses correlate with each other in general, but whereas inhibitors of chaperones and cell cycle kinases induce similar transcriptional changes across cell lines, changes induced by drugs that inhibit intra-cellular signaling kinases are cell-type specific. In some drug/cell line pairs significant changes in transcription are observed without a change in cell growth or survival; analysis of such pairs identifies drug equivalence classes and, in one case, synergistic drug interactions. In this case, synergy involves cell-type specific suppression of an adaptive drug response. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
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9. Revealing cancer subtypes with higher-order correlations applied to imaging and omics data.
- Author
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Kiley, Kiley, Tiffany Ting Liu, Achrol, Achal S., Paull, Evan O., Newton, Yulia, Chang, Steven D., Harsh IV, Griffith R., Cordero, Sergio P., Rubin, Daniel L., and Stuart, Joshua M.
- Subjects
TUMOR classification ,CANCER patients ,GENETIC mutation ,BREAST cancer ,OVARIAN cancer ,MAGNETIC resonance imaging - Abstract
Background: Patient stratification to identify subtypes with different disease manifestations, severity, and expected survival time is a critical task in cancer diagnosis and treatment. While stratification approaches using various biomarkers (including high-throughput gene expression measurements) for patient-to-patient comparisons have been successful in elucidating previously unseen subtypes, there remains an untapped potential of incorporating various genotypic and phenotypic data to discover novel or improved groupings. Methods: Here, we present HOCUS, a unified analytical framework for patient stratification that uses a community detection technique to extract subtypes out of sparse patient measurements. HOCUS constructs a patient-to-patient network from similarities in the data and iteratively groups and reconstructs the network into higher order clusters. We investigate the merits of using higher-order correlations to cluster samples of cancer patients in terms of their associations with survival outcomes. Results: In an initial test of the method, the approach identifies cancer subtypes in mutation data of glioblastoma, ovarian, breast, prostate, and bladder cancers. In several cases, HOCUS provides an improvement over using the molecular features directly to compare samples. Application of HOCUS to glioblastoma images reveals a size and location classification of tumors that improves over human expert-based stratification. Conclusions: Subtypes based on higher order features can reveal comparable or distinct groupings. The distinct solutions can provide biologically- and treatment-relevant solutions that are just as significant as solutions based on the original data. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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10. Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
- Author
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Drake, Justin M., Paull, Evan O., Graham, Nicholas A., Lee, John K., Smith, Bryan A., Titz, Bjoern, Stoyanova, Tanya, Faltermeier, Claire M., Uzunangelov, Vladislav, Carlin, Daniel E., Fleming, Daniel Teo, Wong, Christopher K., Newton, Yulia, Sudha, Sud, Vashisht, Ajay A., Huang, Jiaoti, Wohlschlegel, James A., Graeber, Thomas G., Witte, Owen N., and Stuart, Joshua M.
- Subjects
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PHOSPHOPROTEINS , *PROSTATE cancer patients , *CASTRATION , *PROTEIN kinases , *INDIVIDUALIZED medicine - Abstract
Summary We used clinical tissue from lethal metastatic castration-resistant prostate cancer (CRPC) patients obtained at rapid autopsy to evaluate diverse genomic, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed master transcriptional regulators, functionally mutated genes, and differentially activated kinases in CRPC tissues to synthesize a robust signaling network consisting of druggable kinase pathways. Using MSigDB hallmark gene sets, six major signaling pathways with phosphorylation of several key residues were significantly enriched in CRPC tumors after incorporation of phosphoproteomic data. Individual autopsy profiles developed using these hallmarks revealed clinically relevant pathway information potentially suitable for patient stratification and targeted therapies in late stage prostate cancer. Here, we describe phosphorylation-based cancer hallmarks using integrated personalized signatures (pCHIPS) that shed light on the diversity of activated signaling pathways in metastatic CRPC while providing an integrative, pathway-based reference for drug prioritization in individual patients. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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11. Pathway-Based Genomics Prediction using Generalized Elastic Net.
- Author
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Sokolov, Artem, Carlin, Daniel E., Paull, Evan O., Baertsch, Robert, and Stuart, Joshua M.
- Subjects
GENOMICS ,MOLECULAR interactions ,AGNOSTICS ,MICROBIAL physiology ,MACROMOLECULAR dynamics - Abstract
We present a novel regularization scheme called The Generalized Elastic Net (GELnet) that incorporates gene pathway information into feature selection. The proposed formulation is applicable to a wide variety of problems in which the interpretation of predictive features using known molecular interactions is desired. The method naturally steers solutions toward sets of mechanistically interlinked genes. Using experiments on synthetic data, we demonstrate that pathway-guided results maintain, and often improve, the accuracy of predictors even in cases where the full gene network is unknown. We apply the method to predict the drug response of breast cancer cell lines. GELnet is able to reveal genetic determinants of sensitivity and resistance for several compounds. In particular, for an EGFR/HER2 inhibitor, it finds a possible trans-differentiation resistance mechanism missed by the corresponding pathway agnostic approach. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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12. SJARACNe: a scalable software tool for gene network reverse engineering from big data.
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Khatamian, Alireza, Paull, Evan O, Califano, Andrea, and Yu, Jiyang
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GENE regulatory networks , *REVERSE engineering , *BIG data , *SOFTWARE development tools , *BIOENGINEERING - Published
- 2019
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13. A modular master regulator landscape controls cancer transcriptional identity.
- Author
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Paull, Evan O., Aytes, Alvaro, Jones, Sunny J., Subramaniam, Prem S., Giorgi, Federico M., Douglass, Eugene F., Tagore, Somnath, Chu, Brennan, Vasciaveo, Alessandro, Zheng, Siyuan, Verhaak, Roel, Abate-Shen, Cory, Alvarez, Mariano J., and Califano, Andrea
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GENOMICS , *GENE expression profiling , *PHENOTYPES , *CANCER genetics , *SOMATIC mutation ,TUMOR genetics - Abstract
Despite considerable efforts, the mechanisms linking genomic alterations to the transcriptional identity of cancer cells remain elusive. Integrative genomic analysis, using a network-based approach, identified 407 master regulator (MR) proteins responsible for canalizing the genetics of individual samples from 20 cohorts in The Cancer Genome Atlas (TCGA) into 112 transcriptionally distinct tumor subtypes. MR proteins could be further organized into 24 pan-cancer, master regulator block modules (MRBs), each regulating key cancer hallmarks and predictive of patient outcome in multiple cohorts. Of all somatic alterations detected in each individual sample, >50% were predicted to induce aberrant MR activity, yielding insight into mechanisms linking tumor genetics and transcriptional identity and establishing non-oncogene dependencies. Genetic and pharmacological validation assays confirmed the predicted effect of upstream mutations and MR activity on downstream cellular identity and phenotype. Thus, co-analysis of mutational and gene expression profiles identified elusive subtypes and provided testable hypothesis for mechanisms mediating the effect of genetic alterations. • Integrative genomic analysis of 20 TCGA cohorts identifies 112 distinct tumor subtypes • 407 master regulators canalize the effects of mutations to implement cancer states • 24 conserved master regulator blocks regulate cancer hallmarks across tumors A network-based integrative genomic analysis of 20 The Cancer Genome Atlas cohorts characterizes conserved master regulator blocks underlying cancer hallmarks across different tumor types, providing insights into the connection between genetic alterations and tumor transcriptional identity. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
14. The Immune Landscape of Cancer.
- Author
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Thorsson, Vésteinn, Gibbs, David L., Brown, Scott D., Wolf, Denise, Bortone, Dante S., Ou Yang, Tai-Hsien, Porta-Pardo, Eduard, Gao, Galen F., Plaisier, Christopher L., Eddy, James A., Ziv, Elad, Culhane, Aedin C., Paull, Evan O., Sivakumar, I.K. Ashok, Gentles, Andrew J., Malhotra, Raunaq, Farshidfar, Farshad, Colaprico, Antonio, Parker, Joel S., and Mose, Lisle E.
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CANCER immunology , *WOUND healing , *MACROPHAGES , *IMMUNOLOGICAL adjuvants , *CANCER cell proliferation , *TRANSFORMING growth factors - Abstract
Summary We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes—wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant—characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratio, extent of intratumoral heterogeneity, aneuploidy, extent of neoantigen load, overall cell proliferation, expression of immunomodulatory genes, and prognosis. Specific driver mutations correlated with lower ( CTNNB1 , NRAS , or IDH1 ) or higher ( BRAF , TP53 , or CASP8 ) leukocyte levels across all cancers. Multiple control modalities of the intracellular and extracellular networks (transcription, microRNAs, copy number, and epigenetic processes) were involved in tumor-immune cell interactions, both across and within immune subtypes. Our immunogenomics pipeline to characterize these heterogeneous tumors and the resulting data are intended to serve as a resource for future targeted studies to further advance the field. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
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