Learn R Programming

MetaDE (version 1.0.5)

MetaDE: Microarray meta-analysis for differentially expressed gene detection

Description

MetaDE package implements 12 major meta-analysis methods for differential expression analysis.

Copy Link

Version

Install

install.packages('MetaDE')

Monthly Downloads

9

Version

1.0.5

License

GPL-2

Maintainer

Xingbin Wang

Last Published

August 10th, 2012

Functions in MetaDE (1.0.5)

MetaDE.pvalue

Identify differentially expressed genes by combining p-values
MetaDE.merge

Merge microarray data sets
ind.cal.ES

Calculate the effect sizes
MetaDE.ES

Identify differentially expressed genes by combining effect sizes
count.DEnumber

Count the number of differentially expressed (DE) genes
MetaDE-package

MetaDE: Microarray meta-analysis for differentially expressed gene detection
MetaDE.match

Match the probeIds to gene symbol
MetaDE.Read

Read data sets into R
heatmap.sig.genes

A function to plot the heatmap of DE genes detectred at a given FDR threshold from the Meta-analysis.
MetaDE.minMCC

Identify differentially expressed genes by integrating multiple studies(datasets) using minMCC approach
MetaDE.rawdata

Identify differentially expressed genes by integrating multiple studies(datasets)
ind.analysis

Identify differentially expressed genes in each individual dataset
draw.DEnumber

A function to plot the number of DE genes against FDR obtained from the Meta-analysis.
MetaDE.filter

A function to filter genes