simulateSubmnet: Plot fitness of submodels built by gene removal in a...

In metaboGSE: Gene Set Enrichment Analysis via Integration of Metabolic Networks and RNA-Seq Data

Description

This function plots the fitness of submodels built by gene removal in a condition with different rankings.

Usage

simulateSubmnet(
  sgd,
  mc.cores = 1,
  ranks.name = NULL,
  njt = NULL,
  cols = NULL,
  ltys = NULL
)

Arguments

sgd	An object of class scoreGeneDel.
mc.cores	The number of cores to use (at least 1), i.e. at most how many child processes will be run simultaneously. Default: 1.
ranks.name	Names of gene expression ranking. Default: NULL.
njt	An object of class phylo for colored plot of fitness weighting schema resulting from weightReacts. Default: NULL.
cols	Colors for conditions. Default: rainbow colors.
ltys	Line types for conditions. Default: incrementing line types in R.

Examples

data(yarliSubmnets)

simulateSubmnet(yarliSubmnets$UH)

metaboGSE documentation built on Oct. 23, 2020, 8:14 p.m.