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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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Bibliografiske detaljer
Main Authors: 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
Sprog:Inglês
Udgivet: National Academy of Sciences 2010
Fag:
Online adgang: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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