SelectData: Set of the most variable genes

In mkarikom/RSoptSC: Low-Rank Factorization for Subspace-clustering

Set of the most variable genes

Description

First filter using the expression threshold. Then use the coefficient of the top variance PCA components to determine the variability of the gene.

Usage

SelectData(M, gene_expression_threshold, n_features)

Arguments

M	a matrix of expression values for each gene (rows) and cell (columns)
gene_expression_threshold	for n cells, for gene_expression_threshold = m, dont consider genes expressed in more than n-m cells or genes expressed in less than m cells
n_features	number of genes to retrieve

Value

a table of features (rows) and samples (columns)

mkarikom/RSoptSC documentation built on May 10, 2023, 1:10 a.m.