baseline.norm.cl: find a cluster of diploid cells with integrative clustering...

In navinlabcode/copykat: COPYKAT: Inference of genomic copy number and subclonal structure of human tumors from high-throughput single cell RNA-seq data

find a cluster of diploid cells with integrative clustering method

Description

find a cluster of diploid cells with integrative clustering method

Usage

baseline.norm.cl(norm.mat.smooth, min.cells = 5, n.cores = n.cores)

Arguments

norm.mat.smooth	smoothed data matrix; genes in rows; cell names in columns.
min.cells	minimal number of cells per cluster.
n.cores	number of cores for parallel computing.

Value

1) predefined diploid cell names; 2) clustering results; 3) inferred baseline.

Examples

test.bnc <- baseline.norm.cl(norm.mat.smooth=norm.mat.smooth, min.cells=5, n.cores=10)

test.bnc.cells <- test.bnc$preN

navinlabcode/copykat documentation built on June 29, 2024, 2:31 a.m.