Takes raw counts matrix and converts it to a series of matrices needed for log likelihood calculation

Takes raw counts matrix and converts it to a series of matrices needed for log likelihood calculation

cG.decomposeCounts(counts, y, L)

Arguments

counts	Integer matrix. Rows represent features and columns represent cells.
y	Numeric vector. Denotes feature module labels.
L	Integer. Number of feature modules.