Hi All, This is the first time I use 'cancerclass' package in R. It works pretty well. However, I can't find out which genes are used in the predictor model and how these genes are combined together to build the predictor model.
Thanks in advance. Yong > Sys.info() sysname release "Windows" "7 x64" version nodename "build 7601, Service Pack 1" "MXZ-PC" machine login "x86-64" "MXZ" user effective_user "MXZ" "MXZ" ## cancerclass code ## > library(cancerdata) > data(VEER) > data(VIJVER) > VIJVER2 <- VIJVER[, setdiff(sampleNames(VIJVER), sampleNames(VEER))] > predictor <- fit(VEER, method="welch.test") > prediction <- predict(predictor, VIJVER2, positive="DM", dist="cor") > plot(prediction, type="histogram", positive="DM", score="zeta") [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.