Learn R Programming

PCpheno (version 1.28.0)

densityEstimate: Observed versus Expected Ratios

Description

Function to calculate the ratio of genes that characterize a phenotype (observed) among the genes that characterize a biological complex versus the ratio of a set of randomly sampled genes (expected) among the genes that characterize a biological complex.

Usage

densityEstimate(genename,interactome,perm)

Arguments

genename
Character vector of the gene names that characterize a specific phenotype.
interactome
Contingency matrix of genes (rows) and biological complexes (columns) (see package ScISI)
perm
Numeric vector indicating the number of simulations to run to compute the expected ratios.

Value

List of observed and simulated ratios.

Examples

Run this code
 data(ScISI)
 data(essglist)
 essential <- names(essglist)
 ScISI <- as.matrix(ScISI)
  ratio<- densityEstimate(genename=essential,interactome=ScISI,perm=50)

Run the code above in your browser using DataLab