bic.mds.clust.samples: Plot MDS clustering of all samples

In bic-mskcc/bicrnaseq: MSKCC Bioinformatics Core RNASeq

Description

Plot clustering of samples using the MDS method

Plot clustering of samples using the MDS method

Usage

bic.mds.clust.samples(norm.counts, log2 = FALSE, file = NULL,
  conds = NULL, labels = TRUE)

bic.mds.clust.samples(norm.counts, log2 = FALSE, file = NULL,
  conds = NULL, labels = TRUE)

Arguments

norm.counts	data matrix containing normalized counts, where a column represents a sample and a row represents a gene
log2	logical indicating whether norm.counts is on log2 scale Default: FALSE
file	PDF file to which plot should be saved (optional)
conds	vector of conditions to be appended to sample IDs for labeling
labels	logical indicating whether to include sample labels on plot; Default: TRUE
norm.counts	data matrix containing normalized counts, where a column represents a sample and a row represents a gene
conds	vector of conditions to be appended to sample IDs for labeling
file	PDF file to which plot should be saved (optional)
log2	logical indicating whether norm.counts is on log2 scale Default: FALSE
labels	logical indicating whether to include sample labels on plot; Default: TRUE

bic-mskcc/bicrnaseq documentation built on May 24, 2019, 3:04 a.m.