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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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Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: National Academy of Sciences 2010
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Accesso online: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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