HeatmapSurvGroup: Heatmaps of signature genes in low- and high-risk group

In cosmonet-package/COSMONET: Screening-network Cox methods for survival analysis

Description

This function compute the heatmap of genes selected by the combination of BMD-screening and network methods by dividing the patiens in high- and low-risk survival group.

Usage

HeatmapSurvGroup(
  x1,
  x2,
  screenVars,
  beta,
  PI.train,
  opt.cutoff,
  PI.test,
  th = 3.5
)

Arguments

x1	input training matrix n1xp.
x2	input training matrix n2xp.
screenVars	screened variables obtained from BMD- or DAD-, or BMD+DAD-screening.
beta	regression coefficients.
PI.train	prognostic index on training set T.
PI.test	prognostic index on testing set D.
th	threshold for the z-score. Default is th=3.5.

Value

Heatmap on training set T and testing set D divided in high-and low-risk survival groups.

cosmonet-package/COSMONET documentation built on Dec. 24, 2021, 9:12 p.m.