Description Arguments Author(s)
Selected informative genes by fitting a support-vector regression to the coefficient of variation (CV) as a function of the mean, and selecting genes having the greatest offset from the fitted curve; this would correspond to genes with higher-than-expected variance. Adpoted from Linnarsson lab python implementation: https://github.com/linnarsson-lab/cytograph/blob/master/cytograph/feature_selection.py
cpm |
matrix; Matrix containing cpm values. |
n |
Number of genes to select. |
Jason T. Serviss
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