bic.hclust.samples: Plot heirachical clustering of all samples

Description Usage Arguments

Description

Plot clustering of samples using the heierarchical clustering method

Plot clustering of samples using the heierarchical clustering method

Usage

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bic.hclust.samples(norm.counts, conds = NULL, log2 = FALSE,
  file.name = NULL, title = "")

bic.hclust.samples(norm.counts, conds = NULL, log2 = FALSE,
  file.name = NULL, title = "")

Arguments

norm.counts

data matrix containing normalized counts, where a column represents a sample and a row represents a gene. may or may not contain "GeneID" and "GeneSymbol" columns.

conds

vector of sample conditions, in same order as column names in matrix or sample.labels; if given, nodes will be colored according to conditions; Default: NULL

log2

logical indicating whether data is on log2 scale (Default: FALSE)

file.name

plot will be saved in this file; Default: $PWD/counts_scaled_hclust.pdf

title

main title of plot

norm.counts

data matrix containing normalized counts, where a column represents a sample and a row represents a gene. may or may not contain "GeneID" and "GeneSymbol" columns.

conds

vector of sample conditions, in same order as column names in matrix or sample.labels; if given, nodes will be colored according to conditions; Default: NULL

log2

logical indicating whether data is on log2 scale (Default: FALSE)

file.name

plot will be saved in this file; Default: $PWD/counts_scaled_hclust.pdf

title

main title of plot


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