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Cummings, M.P. & Segal, M.R. (2004). Few amino acid positions in rpoB are associated with most of the rifampin resistance in Mycobacterium. . BMC Bioinformatics
Cummings, M.P. & Myers, D.S. (2004). Simple statistical models predict C-to-U edited sites in plant mitochondrial RNA. BMC Bioinformatics
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Goh, C.S. Lan, N. Douglas, S.M. Wu, B.L. Echols, N. Smith, A. Milburn, D. Montelione, G.T. Zhao, H.Y. & Gerstein, M. (2004). Mining the structural genomics pipeline: Identification of protein properties that affect high-throughput experimental analysis. Journal of Molecular Biology
Guha, R. & Jurs, P.C. (2004). Development of linear, ensemble, and nonlinear models for the prediction and interpretation of the biological activity of a set of PDGFR inhibitors. Journal of Chemical Information and Computer Sciences
Gunther, E.C Stone, D.J Gerwien, R.W Bento, P. & Heyes, M.P.&npsb; (2003). . Prediction of clinical drug efficacy by classification of drug induced genomic expression profiles in vitro. Proceedings of the National Academy of Sciences of the United States of America
Izmirlian, G. (2004). Application of the random forest classification algorithm to a SELDI-T OF proteomics study in the setting of a cancer prevention trial. Annals of the New York Academy of Sciences
Lunetta, K.L. Hayward, L.B. Segal, J. & Van Eerdewegh, P. (2004). Screening large-scale association study data: exploiting interactions using random forests. BMC Genetics
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