hm_gpa_sel: Heatmap of the genes and groups

In pcahan1/cancerCellNet: CellNet, for cancer

Heatmap of the genes and groups

Description

Generate a heatmap with classification worthy genes and cancer groups

Usage

hm_gpa_sel(
  expDat,
  genes,
  grps,
  maxPerGrp = 100,
  cRow = FALSE,
  cCol = FALSE,
  limits = c(0, 10),
  toScale = FALSE,
  fontsize_row = 4,
  reOrderCells = FALSE,
  ...
)

Arguments

expDat	normalized expression matrix from trans_prop
genes	classification worth genes from findClassyGenes
grps	a vector that maps sample names to a cancer category
maxPerGrp	the number max samples per group
cRow	TRUE if the rows should be clustered
cCol	TRUE if the columns should be clustered
limits	a vector of size 2 indicating the lowest and highest range for expression level
toScale	TRUE if the data should be scaled
fontsize_row	the font size for the row labels

Value

a heatmap of genes and their groups

pcahan1/cancerCellNet documentation built on July 16, 2022, 12:12 a.m.