View source: R/metapredict_predict.R
metapredictCv | R Documentation |
Run cross-validation to predict a response variable from gene expression data across multiple studies.
metapredictCv( ematMerged, sampleMetadata, weights, alpha, nFolds = 10, foldid = NA, nRepeats = 3, yName = "class", addlFeatureColnames = NA, ... )
ematMerged |
matrix of gene expression for genes by samples. |
sampleMetadata |
data.frame of sample metadata, with rownames corresponding to sample names. |
weights |
vector of weights. |
alpha |
vector of values for alpha, the elastic net mixing parameter. |
nFolds |
number of folds. Ignored, if |
foldid |
vector of values specifying what fold each observation is in. |
nRepeats |
number of times to perform cross-validation. Ignored, if
foldid is not |
yName |
column in |
addlFeatureColnames |
optional vector of column names containing other features to be used for predicting the response variable. |
... |
Other arguments passed to |
A list of cv.glmnet
objects.
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