Analysis of factorial time-course microarrays with application to a clinical study of burn injury

Time-course microarray experiments are capable of capturing dynamic gene expression profiles. It is important to study how these dynamic profiles depend on the multiple factors that characterize the experimental condition under which the time course is observed. Analytic methods are needed to simult...

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Autors principals: Zhou, Baiyu, Xu, Weihong, Herndon, David, Tompkins, Ronald, Davis, Ronald, Xiao, Wenzhong, Wong, Wing Hung, Toner, Mehmet, Warren, H. Shaw, Schoenfeld, David A., Rahme, Laurence, McDonald-Smith, Grace P., Hayden, Douglas, Mason, Philip, Fagan, Shawn, Yu, Yong-Ming, Cobb, J. Perren, Remick, Daniel G., Mannick, John A., Lederer, James A., Gamelli, Richard L., Silver, Geoffrey M., West, Michael A., Shapiro, Michael B., Smith, Richard, Camp, David G., Qian, Weijun, Storey, John, Mindrinos, Michael, Tibshirani, Rob, Lowry, Stephen, Calvano, Steven, Chaudry, Irshad, Cohen, Mitchell, Moore, Ernest E., Johnson, Jeffrey, Moldawer, Lyle L., Baker, Henry V., Efron, Philip A., Balis, Ulysses G.J., Billiar, Timothy R., Ochoa, Juan B., Sperry, Jason L., Miller-Graziano, Carol L., De, Asit K., Bankey, Paul E., Finnerty, Celeste C., Jeschke, Marc G., Minei, Joseph P., Arnoldo, Brett D., Hunt, John L., Horton, Jureta, Brownstein, Bernard, Freeman, Bradley, Maier, Ronald V., Nathens, Avery B., Cuschieri, Joseph, Gibran, Nicole, Klein, Matthew, O’Keefe, Grant
Format: Artigo
Idioma:Inglês
Publicat: National Academy of Sciences 2010
Matèries:
Physical Sciences
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2890487/
https://ncbi.nlm.nih.gov/pubmed/20479259
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1002757107
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