fsEdger selects features using the
edgeR package. This function does not normalize the data,
but does estimate dispersion using the
A numeric scalar or character vector. A numeric scalar indicates
the number of top features that should undergo feature selection. A character vector
indicates specifically which features by name should undergo feature selection.
A numeric scalar. Specifies the number of top features that should get
returned by the feature selection method. Use of
Arguments passed to the detailed function.
The user can normalize the data before feature selection using the
modTMM function. Note that applying
edgeR to already normalized
counts differs slightly from applying
edgeR with normalization.
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