Sim2Group: This function Sim2Group() simulates the gene expression data...

In rMisbeta: A Robust Missing Imputation Method for Gene Expression Data

Description

Generates the gene expression data using one-way ANOVA model with two groups. The variance of both group should be same and the percentage of the DE genes will be given

Usage

Sim2Group(ng, n1, n2, var0 = 0.1, pde = 0.05)

Arguments

ng	The total number of genes to be generated.
n1	Number of samples in the first group.
n2	Number of samples in the second group.
var0	The variance of the both group.
pde	The proportion of the differentially expressed(DE) genes.

Value

This function returns the following components:

outmat	Simulated gene expression data for two groups.
DEtrue	True DE index.

Author(s)

Md.Shahjaman; [e-mail]

Examples

n1=10;n2=10;
nG=1000
TSimDat<-Sim2Group(ng=nG,n1,n2,var0=0.1,pde=0.1)
Simdat<-TSimDat[[1]]
TrueDE<-TSimDat[[2]]

rMisbeta documentation built on Jan. 13, 2021, 6:28 a.m.