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

cCG.decomposeCounts(counts, s, z, y, K, L)

Arguments

counts	Integer matrix. Rows represent features and columns represent cells.
s	Integer vector. Contains the sample label for each cell (column) in the count matrix.
z	Numeric vector. Denotes cell population labels.
y	Numeric vector. Denotes feature module labels.
K	Integer. Number of cell populations.
L	Integer. Number of feature modules.