takes in predited weights and true labels and determines performance characterisitcs
1 |
X |
nxp dataset |
Y |
vector of phenotype labels with names(Y) == rownames(X) |
keepX |
(# of variables to select per component) |
ncomp |
number of components |
M |
Number of folds in the cross-validation |
folds |
list of elements (sample indices) for the M folds |
progressBar |
display progress bar or not (TRUE/FALSE) |
filter |
apply no filter "none" or a p.value filter "p.value |
topranked |
select the top significant variables based on limma |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.