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569 results on '"Brinkman, Ryan"'

1. DNA Methylation signatures underpinning blood neutrophil to lymphocyte ratio during first week of human life

Author

Martino, David, Kresoje, Nina, Amenyogbe, Nelly, Ben-Othman, Rym, Cai, Bing, Lo, Mandy, Idoko, Olubukola, Odumade, Oludare A., Falsafi, Reza, Blimkie, Travis M., An, Andy, Shannon, Casey P., Montante, Sebastiano, Dhillon, Bhavjinder K., Diray-Arce, Joann, Ozonoff, Al, Smolen, Kinga K., Brinkman, Ryan R., McEnaney, Kerry, Angelidou, Asimenia, Richmond, Peter, Tebbutt, Scott J., Kampmann, Beate, Levy, Ofer, Hancock, Robert E. W., Lee, Amy H. Y., and Kollmann, Tobias R.

Published
2024
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2. Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation

Author

Amenyogbe, Nelly, Angelidou, Asimenia, Bao, Winnie, Ben-Othman, Rym, Bennike, Tue, Blimkie, Travis, Bjerregaard-Andersen, Morten, Brinkman, Ryan R., Brook, Byron, Burnell, Kendyll, Cai, Bing, Checkervarty, Abhinav, Chen, Jing, Chen, Virginia, Cooney, Mitchell, Cox, Momoudou, Darboe, Alansana, Dhillon, Bhavjinder K., Dibassey, Tida, Diray-Arce, Joann, Falsafi, Reza, Fatou, Benoit, Ford, Rebecca, Francis, Freddy, Golding, Christian N., Hancock, Robert E.W., Harbeson, Danny J., He, Daniel, Hinshaw, Samuel H., Hoch, Annmarie, Huang, Joe, Idoko, Olubukola T., Imam, Abdulazeez, Kampmann, Beate, Kirarock, Wendy, Kollmann, Tobias R., Karoly, Meagan E., Kraft, Ken, Larsen, Kristina, Lasky-Su, Jessica, Lee, Amy H., Levy, Ofer, Liu, Aaron, A, Liu, Mark, M, Malek, Mehrnoush, Marchant, Arnaud, Masiria, Geraldine, Martino, David Jim, Matlam, John Paul, McEnaney, Kerry, McLoughlin, Caitlyn, Montante, Sebastiano, Morrocchi, Elena, Ndure, Jorjoh, Nguyen, Athena, Njie-Jobe, Jainaba, Odumade, Oludare A., Ozonoff, Al, Pak, Jensen, Palma, Paolo, Parker, Edward P.K., Pettengill, Matthew A., Plotkin, Alec, Pomat, William S., Rao, Shun, Richmond, Peter C., Roberts, Elishia, Saleu, Gerard, Sanca, Lilica, Sanchez-Schmitz, Guzman, Schaltz-Buchholzer, Frederik, Shannon, Casey P., Singh, Amrit, Smith, Maren, Smolen, Kinga K., Steen, Hanno, Strandmark, Julia, Syphurs, Caitlin, Tebbutt, Scott J., van den Biggelaar, Anita H.J., van Haren, Simon D., Varankovich, Natallia, Vignolo, Sofia, Vo, Diana, Wariri, Oghenebrume, An, Andy Y., Acton, Erica, Blimkie, Travis M., Dibbasey, Tida, Bennike, Tue Bjerg, and Martino, David

Published
2024
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3. Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort

Author

Shannon, Casey P, Blimkie, Travis M, Ben-Othman, Rym, Gladish, Nicole, Amenyogbe, Nelly, Drissler, Sibyl, Edgar, Rachel D, Chan, Queenie, Krajden, Mel, Foster, Leonard J, Kobor, Michael S, Mohn, William W, Brinkman, Ryan R, Le Cao, Kim-Anh, Scheuermann, Richard H, Tebbutt, Scott J, Hancock, Robert EW, Koff, Wayne C, Kollmann, Tobias R, Sadarangani, Manish, and Lee, Amy Huei-Yi

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Immunology, Vaccine Related, Immunization, Human Genome, Hepatitis, Genetics, Biotechnology, Infectious Diseases, Clinical Research, Hepatitis - B, Digestive Diseases, Prevention, Liver Disease, Prevention of disease and conditions, and promotion of well-being, 3.4 Vaccines, Infection, Good Health and Well Being, Adult, Aged, Epigenesis, Genetic, Epigenomics, Feces, Female, Gastrointestinal Microbiome, Gene Expression Profiling, Gene Regulatory Networks, Genomics, Hepatitis B, Hepatitis B Antibodies, Hepatitis B Vaccines, Humans, Immunogenicity, Vaccine, Male, Middle Aged, Prospective Studies, Protein Interaction Maps, Proteomics, Systems Biology, Time Factors, Transcriptome, Treatment Outcome, Vaccination, multi-omic analysis, hepatitis B vaccination, baseline immunity, network analysis, vaccine response, Medical Microbiology, Biochemistry and cell biology
Abstract

BackgroundVaccination remains one of the most effective means of reducing the burden of infectious diseases globally. Improving our understanding of the molecular basis for effective vaccine response is of paramount importance if we are to ensure the success of future vaccine development efforts.MethodsWe applied cutting edge multi-omics approaches to extensively characterize temporal molecular responses following vaccination with hepatitis B virus (HBV) vaccine. Data were integrated across cellular, epigenomic, transcriptomic, proteomic, and fecal microbiome profiles, and correlated to final HBV antibody titres.ResultsUsing both an unsupervised molecular-interaction network integration method (NetworkAnalyst) and a data-driven integration approach (DIABLO), we uncovered baseline molecular patterns and pathways associated with more effective vaccine responses to HBV. Biological associations were unravelled, with signalling pathways such as JAK-STAT and interleukin signalling, Toll-like receptor cascades, interferon signalling, and Th17 cell differentiation emerging as important pre-vaccination modulators of response.ConclusionThis study provides further evidence that baseline cellular and molecular characteristics of an individual's immune system influence vaccine responses, and highlights the utility of integrating information across many parallel molecular datasets.

Published
2020

4. Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

Author

Cossarizza, Andrea, Chang, Hyun-Dong, Radbruch, Andreas, Acs, Andreas, Adam, Dieter, Adam-Klages, Sabine, Agace, William W, Aghaeepour, Nima, Akdis, Mübeccel, Allez, Matthieu, Almeida, Larissa Nogueira, Alvisi, Giorgia, Anderson, Graham, Andrä, Immanuel, Annunziato, Francesco, Anselmo, Achille, Bacher, Petra, Baldari, Cosima T, Bari, Sudipto, Barnaba, Vincenzo, Barros-Martins, Joana, Battistini, Luca, Bauer, Wolfgang, Baumgart, Sabine, Baumgarth, Nicole, Baumjohann, Dirk, Baying, Bianka, Bebawy, Mary, Becher, Burkhard, Beisker, Wolfgang, Benes, Vladimir, Beyaert, Rudi, Blanco, Alfonso, Boardman, Dominic A, Bogdan, Christian, Borger, Jessica G, Borsellino, Giovanna, Boulais, Philip E, Bradford, Jolene A, Brenner, Dirk, Brinkman, Ryan R, Brooks, Anna ES, Busch, Dirk H, Büscher, Martin, Bushnell, Timothy P, Calzetti, Federica, Cameron, Garth, Cammarata, Ilenia, Cao, Xuetao, Cardell, Susanna L, Casola, Stefano, Cassatella, Marco A, Cavani, Andrea, Celada, Antonio, Chatenoud, Lucienne, Chattopadhyay, Pratip K, Chow, Sue, Christakou, Eleni, Čičin-Šain, Luka, Clerici, Mario, Colombo, Federico S, Cook, Laura, Cooke, Anne, Cooper, Andrea M, Corbett, Alexandra J, Cosma, Antonio, Cosmi, Lorenzo, Coulie, Pierre G, Cumano, Ana, Cvetkovic, Ljiljana, Dang, Van Duc, Dang-Heine, Chantip, Davey, Martin S, Davies, Derek, De Biasi, Sara, Del Zotto, Genny, Dela Cruz, Gelo Victoriano, Delacher, Michael, Della Bella, Silvia, Dellabona, Paolo, Deniz, Günnur, Dessing, Mark, Di Santo, James P, Diefenbach, Andreas, Dieli, Francesco, Dolf, Andreas, Dörner, Thomas, Dress, Regine J, Dudziak, Diana, Dustin, Michael, Dutertre, Charles-Antoine, Ebner, Friederike, Eckle, Sidonia BG, Edinger, Matthias, Eede, Pascale, Ehrhardt, Götz RA, Eich, Marcus, Engel, Pablo, Engelhardt, Britta, and Erdei, Anna

Subjects
1.1 Normal biological development and functioning, Underpinning research, Inflammatory and immune system, Allergy and Immunology, Cell Separation, Consensus, Flow Cytometry, Humans, Phenotype, Immunology
Abstract

These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion.

Published
2019

5. Methodology for evaluating and comparing flow cytometers: A multisite study of 23 instruments

Author

Parks, David R, Moore, Wayne A, Brinkman, Ryan R, Chen, Yong, Condello, Danilo, Khettabi, Faysal El, Nolan, John P, Perfetto, Stephen P, Redelman, Doug, Spidlen, Josef, Van Dyke, Jonathan, Wang, Lili, and Wood, James CS

Subjects
Data Management and Data Science, Information and Computing Sciences, Biomedical and Clinical Sciences, Calibration, Flow Cytometry, Humans, flow cytometry, instrumentation, standardization, sensitivity, automated data analysis, photoelectron scale, LED, microspheres, resolution limit, limit of detection, LED, automated data analysis, instrumentation, limit of detection, microspheres, photoelectron scale, resolution limit, sensitivity, standardization, Biochemistry and Cell Biology, Immunology, Cardiovascular medicine and haematology
Abstract

We demonstrate improved methods for making valid and accurate comparisons of fluorescence measurement capabilities among instruments tested at different sites and times. We designed a suite of measurements and automated data processing methods to obtain consistent objective results and applied them to a selection of 23 instruments at nine sites to provide a range of instruments as well as multiple instances of similar instruments. As far as we know, this study represents the most accurate methods and results so far demonstrated for this purpose. The first component of the study reporting improved methods for photoelectron scale (Spe) evaluations, which was published previously (Parks, El Khettabi, Chase, Hoffman, Perfetto, Spidlen, Wood, Moore, and Brinkman: Cytometry A 91 (2017) 232-249). Those results which were within themselves are not sufficient for instrument comparisons, so here, we use the Spe scale results for the 23 cytometers and combine them with additional information from the analysis suite to obtain the metrics actually needed for instrument evaluations and comparisons. We adopted what we call the 2+2SD limit of resolution as a maximally informative metric, for evaluating and comparing dye measurement sensitivity among different instruments and measurement channels. Our results demonstrate substantial differences among different classes of instruments in both dye response and detection sensitivity and some surprisingly large differences among similar instruments, even among instruments with nominally identical configurations. On some instruments, we detected defective measurement channels needing service. The system can be applied in shared resource laboratories and other facilities as an aspect of quality assurance, and accurate instrument comparisons can be valuable for selecting instruments for particular purposes and for making informed instrument acquisition decisions. An institutionally supported program could serve the cytometry community by facilitating access to materials, and analysis and maintaining an archive of results. © 2018 International Society for Advancement of Cytometry.

Published
2018

6. Single-cell profiling reveals a memory B cell-like subtype of follicular lymphoma with increased transformation risk

Author

Wang, Xuehai, Nissen, Michael, Gracias, Deanne, Kusakabe, Manabu, Simkin, Guillermo, Jiang, Aixiang, Duns, Gerben, Sarkozy, Clementine, Hilton, Laura, Chavez, Elizabeth A., Segat, Gabriela C., Wong, Rachel, Kim, Jubin, Aoki, Tomohiro, Islam, Rashedul, May, Christina, Hung, Stacy, Tyshchenko, Kate, Brinkman, Ryan R., Hirst, Martin, Karsan, Aly, Freeman, Ciara, Sehn, Laurie H., Morin, Ryan D., Roth, Andrew J., Savage, Kerry J., Craig, Jeffrey W., Shah, Sohrab P., Steidl, Christian, Scott, David W., and Weng, Andrew P.

Published
2022
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12. High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation

Author

Abeler-Dörner, Lucie, Laing, Adam G., Lorenc, Anna, Ushakov, Dmitry S., Clare, Simon, Speak, Anneliese O., Duque-Correa, Maria A., White, Jacqueline K., Ramirez-Solis, Ramiro, Saran, Namita, Bull, Katherine R., Morón, Belén, Iwasaki, Jua, Barton, Philippa R., Caetano, Susana, Hng, Keng I., Cambridge, Emma, Forman, Simon, Crockford, Tanya L., Griffiths, Mark, Kane, Leanne, Harcourt, Katherine, Brandt, Cordelia, Notley, George, Babalola, Kolawole O., Warren, Jonathan, Mason, Jeremy C., Meeniga, Amrutha, Karp, Natasha A., Melvin, David, Cawthorne, Eleanor, Weinrick, Brian, Rahim, Albina, Drissler, Sibyl, Meskas, Justin, Yue, Alice, Lux, Markus, Song-Zhao, George X., Chan, Anna, Ballesteros Reviriego, Carmen, Abeler, Johannes, Wilson, Heather, Przemska-Kosicka, Agnieszka, Edmans, Matthew, Strevens, Natasha, Pasztorek, Markus, Meehan, Terrence F., Powrie, Fiona, Brinkman, Ryan, Dougan, Gordon, Jacobs, Jr, William, Lloyd, Clare M., Cornall, Richard J., Maloy, Kevin J., Grencis, Richard K., Griffiths, Gillian M., Adams, David J., and Hayday, Adrian C.

Published
2020
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13. Modeling biomedical experimental processes with OBI

Author

Brinkman, Ryan R, Courtot, Mélanie, Derom, Dirk, Fostel, Jennifer M, He, Yongqun, Lord, Phillip, Malone, James, Parkinson, Helen, Peters, Bjoern, Rocca-Serra, Philippe, Ruttenberg, Alan, Sansone, Susanna-Assunta, Soldatova, Larisa N, Stoeckert, Christian J, Turner, Jessica A, Zheng, Jie, and obi-users@googlegroups.com

Abstract

Abstract Background Experimental descriptions are typically stored as free text without using standardized terminology, creating challenges in comparison, reproduction and analysis. These difficulties impose limitations on data exchange and information retrieval. Results The Ontology for Biomedical Investigations (OBI), developed as a global, cross-community effort, provides a resource that represents biomedical investigations in an explicit and integrative framework. Here we detail three real-world applications of OBI, provide detailed modeling information and explain how to use OBI. Conclusion We demonstrate how OBI can be applied to different biomedical investigations to both facilitate interpretation of the experimental process and increase the computational processing and integration within the Semantic Web. The logical definitions of the entities involved allow computers to unambiguously understand and integrate different biological experimental processes and their relevant components. Availability OBI is available at http://purl.obolibrary.org/obo/obi/2009-11-02/obi.owl

Published
2010

17. Dynamic molecular changes during the first week of human life follow a robust developmental trajectory

Author

Lee, Amy H., Shannon, Casey P., Amenyogbe, Nelly, Bennike, Tue B., Diray-Arce, Joann, Idoko, Olubukola T., Gill, Erin E., Ben-Othman, Rym, Pomat, William S., van Haren, Simon D., Cao, Kim-Anh Lê, Cox, Momoudou, Darboe, Alansana, Falsafi, Reza, Ferrari, Davide, Harbeson, Daniel J., He, Daniel, Bing, Cai, Hinshaw, Samuel J., Ndure, Jorjoh, Njie-Jobe, Jainaba, Pettengill, Matthew A., Richmond, Peter C., Ford, Rebecca, Saleu, Gerard, Masiria, Geraldine, Matlam, John Paul, Kirarock, Wendy, Roberts, Elishia, Malek, Mehrnoush, Sanchez-Schmitz, Guzmán, Singh, Amrit, Angelidou, Asimenia, Smolen, Kinga K., The EPIC Consortium, Brinkman, Ryan R., Ozonoff, Al, Hancock, Robert E. W., van den Biggelaar, Anita H. J., Steen, Hanno, Tebbutt, Scott J., Kampmann, Beate, Levy, Ofer, and Kollmann, Tobias R.

Published
2019
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19. Computational Analysis of High-Dimensional Flow Cytometric Data for Diagnosis and Discovery

Author

Aghaeepour, Nima, Brinkman, Ryan, Compans, Richard W, Series editor, Cooper, Max D., Series editor, Gleba, Yuri Y., Series editor, Honjo, Tasuku, Series editor, Oldstone, Michael B. A., Series editor, Vogt, Peter K., Series editor, Malissen, Bernard, Series editor, Aktories, Klaus, Series editor, Kawaoka, Yoshihiro, Series editor, Rappuoli, Rino, Series editor, Galan, Jorge E., Series editor, Fienberg, Harris G., editor, and Nolan, Garry P., editor

Published
2014
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21. MIFlowCyt

Author

Spidlen, Josef, Brinkman, Ryan R., Dubitzky, Werner, editor, Wolkenhauer, Olaf, editor, Cho, Kwang-Hyun, editor, and Yokota, Hiroki, editor

Published
2013
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27. Single-Cell Profiling Reveals Clinically Relevant Evolutionary Trajectories and Alternate Biologies in Human Follicular Lymphoma

Author

Wang, Xuehai, primary, Nissen, Michael, additional, Gracias, Deanne, additional, Kusakabe, Manabu, additional, Simkin, Guillermo, additional, Duns, Gerben, additional, Sarkozy, Clementine, additional, Chavez, Elizabeth, additional, Segat, Gabriela Cristina, additional, Kim, Jubin, additional, Jiang, Aixiang, additional, Aoki, Tomohiro, additional, Islam, Rashedul, additional, May, Christina, additional, Hung, Stacy, additional, Tyshchenko, Kateryna, additional, Brinkman, Ryan, additional, Hirst, Martin, additional, Karsan, Aly, additional, Freeman, Ciara L., additional, Sehn, Laurie H., additional, Savage, Kerry J., additional, Craig, Jeffrey W, additional, Scott, David W., additional, Steidl, Christian, additional, Shah, Sohrab P, additional, and Weng, Andrew P., additional

Published
2021
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30. Thinking Outside the Gate: Single-Cell Assessments in Multiple Dimensions

Author

Kvistborg, Pia, Gouttefangeas, Cécile, Aghaeepour, Nima, Cazaly, Angelica, Chattopadhyay, Pratip K., Chan, Cliburn, Eckl, Judith, Finak, Greg, Hadrup, Sine Reker, Maecker, Holden T., Maurer, Dominik, Mosmann, Tim, Qiu, Peng, Scheuermann, Richard H., Welters, Marij J.P., Ferrari, Guido, Brinkman, Ryan R., and Britten, Cedrik M.

Published
2015
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33. Cytogenetic and molecular responses to standard-dose imatinib in chronic myeloid leukemia are correlated with Sokal risk scores and duration of therapy but not trough imatinib plasma levels

Author

Forrest, Donna L., Trainor, Shannon, Brinkman, Ryan R., Barnett, Michael J., Hogge, Donna E., Nevill, Thomas J., Shepherd, John D., Nantel, Stephen H., Toze, Cynthia L., Sutherland, Heather J., Song, Kevin W., Lavoie, Julye C., Power, Maryse M., Abou-Mourad, Yasser, and Smith, Clayton A.

Published
2009
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34. flowCut: An R package for automated removal of outlier events and flagging of files based on time versus fluorescence analysis.

Author

Meskas, Justin, Yokosawa, Daniel, Wang, Sherrie, Segat, Gabriela C., and Brinkman, Ryan Remy

Abstract

Technical artifacts such as clogging that occur during the data acquisition process of flow cytometry data can cause spurious events and fluorescence intensity shifting that impact the quality of the data and its analysis results. These events should be identified and potentially removed before being passed to the next stage of analysis. flowCut, an R package, automatically detects anomaly events in flow cytometry experiments and flags files for potential review. Its results are on par with manual analysis and it outperforms existing automated approaches. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis

Author

Zare Habil, Haffari Gholamreza, Gupta Arvind, and Brinkman Ryan R

Subjects
Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract One challenge in applying bioinformatic tools to clinical or biological data is high number of features that might be provided to the learning algorithm without any prior knowledge on which ones should be used. In such applications, the number of features can drastically exceed the number of training instances which is often limited by the number of available samples for the study. The Lasso is one of many regularization methods that have been developed to prevent overfitting and improve prediction performance in high-dimensional settings. In this paper, we propose a novel algorithm for feature selection based on the Lasso and our hypothesis is that defining a scoring scheme that measures the "quality" of each feature can provide a more robust feature selection method. Our approach is to generate several samples from the training data by bootstrapping, determine the best relevance-ordering of the features for each sample, and finally combine these relevance-orderings to select highly relevant features. In addition to the theoretical analysis of our feature scoring scheme, we provided empirical evaluations on six real datasets from different fields to confirm the superiority of our method in exploratory data analysis and prediction performance. For example, we applied FeaLect, our feature scoring algorithm, to a lymphoma dataset, and according to a human expert, our method led to selecting more meaningful features than those commonly used in the clinics. This case study built a basis for discovering interesting new criteria for lymphoma diagnosis. Furthermore, to facilitate the use of our algorithm in other applications, the source code that implements our algorithm was released as FeaLect, a documented R package in CRAN.

Published
2013
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43. Evidence for a modifier of onset age in Huntington disease linked to the HD gene in 4p16

Author

Djoussé, Luc, Knowlton, Beth, Hayden, Michael R., Almqvist, Elisabeth W., Brinkman, Ryan R., Ross, Christopher A., Margolis, Russel L., Rosenblatt, Adam, Durr, Alexandra, Dode, Catherine, Morrison, Patrick J., Novelletto, Andrea, Frontali, Marina, Trent, Ronald J. A., McCusker, Elizabeth, Gómez-Tortosa, Estrella, Mayo Cabrero, David, Jones, Randi, Zanko, Andrea, Nance, Martha, Abramson, Ruth K., Suchowersky, Oksana, Paulsen, Jane S., Harrison, Madaline B., Yang, Qiong, Cupples, L. Adrienne, Mysore, Jayalakshmi, Gusella, James F., MacDonald, Marcy E., and Myers, Richard H.

Published
2004
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45. Identification of a novel gene (HSN2) causing hereditary sensory and autonomic neuropathy type II through the study of Canadian genetic isolates

Author

Lafreniere, Ronald G., MacDonald, Marcia L.E., Dube, Marie-Pierre, MacFarlane, Julie, O'Driscoll, Mary, Brais, Bernard, Meilleur, Sebastien, Brinkman, Ryan R., Dadivas, Owen, Pape, Terry, Platon, Christele, Radomski, Chris, Risler, Jenni, Thompson, Jay, Guerra-Escobio, Ana-Maria, Davar, Gudarz, Breakefield, Xandra O., Pimstone, Simon N., Green, Roger, Pryse-Phillips, William, Goldberg, Y. Paul, Younghusband, H. Banfield, Hayden, Michael R., Sherrington, Robin, Rouleau, Guy A., and Samuels, Mark E.

Subjects
Human genetics -- Research, Biological sciences
Published
2004

46. A genome scan for modifiers of age at onset in Huntington disease: the HD MAPS study

Author

Li, Jian-Liang, Hayden, Michael R., Almqvist, Elisabeth W., Brinkman, Ryan R., Durr, Alexandra, Dode, Catherine, Morrison, Patrick J., Suchowersky, Oksana, Ross, Christopher A., Margolis, Russell L., Rosenblatt, Adam, Gomez-Tortosa, Estrella, Cabrero, David Mayo, Noveletto, Andrea, Frontali, Marina, Nance, Martha, Trent, Ronald J.A., McCusker, Elizabeth, Jones, Randi, Paulsen, Jane S., Harrison, Madeline, Zanko, Andrea, Abramson, Ruth K., Russ, Ana L., Knowlton, Beth, Djousse, Luc, Mysore, Jayalakshmi S., Tariot, Suzanne, Gusella, Michael F., Wheeler, Vanessa C., Atwood, Larry D., Cupples, Adrienne L., Saint-Hilaire, Marie, Cha, Jang-Ho J., Herch, Steven M., Koroshetz, Walter J., Gusella, James F., MacDonald, Marcy E., and Myers, Richard H.

Subjects
Gene mutations -- Physiological aspects, Cognition disorders -- Health aspects, Cognition disorders -- Causes of, Cognition disorders -- Genetic aspects, Mental illness -- Health aspects, Mental illness -- Causes of, Mental illness -- Genetic aspects, Huntington's chorea -- Genetic aspects, Huntington's chorea -- Health aspects, Human genetics -- Research, Biological sciences
Published
2003

50. Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort

Author

Shannon, Casey P., primary, Blimkie, Travis M., additional, Ben-Othman, Rym, additional, Gladish, Nicole, additional, Amenyogbe, Nelly, additional, Drissler, Sibyl, additional, Edgar, Rachel D., additional, Chan, Queenie, additional, Krajden, Mel, additional, Foster, Leonard J., additional, Kobor, Michael S., additional, Mohn, William W., additional, Brinkman, Ryan R., additional, Le Cao, Kim-Anh, additional, Scheuermann, Richard H., additional, Tebbutt, Scott J., additional, Hancock, Robert E.W., additional, Koff, Wayne C., additional, Kollmann, Tobias R., additional, Sadarangani, Manish, additional, and Lee, Amy Huei-Yi, additional

Published
2020
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