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select highly variable genes from a expression matrix
get_hvg(data, top = 1000)
subset with top ranked genes by the variances
a (normalized) matrix with rownames of features and colnames of samples
number of top highly variable genes to output
if (FALSE) { library(OncoSubtype) data <- get_median_centered(example_fpkm) data <- assays(data)$centered get_hvg(data) }
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