PScv {GolubRR} | R Documentation |
The weighted voting statistics described in Golub et al are computed using leave one out cross-validation.
PScv(eset, cov)
eset |
An object of class exprSet that contains the
expression data to be analysed. |
cov |
A vector indicating which of two classes each sample belongs to. |
Each sample is left out in turn and an object of class vstruct
is computed using the remaining samples. This object is then used,
together with the left out sample to obtain the votes and PS for the
left out sample. The function returns a list with one entry for each
sample.
A list with one entry for each sample. The entries are the output of
dovote
and are described there.
R. Gentleman
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring, Science, 531-537, 1999, T. R. Golub and D. K. Slonim and P. Tamayo and C. Huard and M. Gaasenbeek and J. P. Mesirov and H. Coller and M.L. Loh and J. R. Downing and M. A. Caligiuri and C. D. Bloomfield and E. S. Lander
library(golubEsets) ans <- PScv(golubTrain[1:20,], golubTrain$ALL)