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]]
______________________________________________
[email protected] 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.