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DCGL (version 1.02)

Differential Coexpression Analysis of Gene Expression Microarray Data

Description

Functions for basic differential coexpression analyses: gene filtering, link filtering, DCG (Differentially-Coexpressed Gene) identification and DCL (Differentially-Coexpressed Links) identification.

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Version

Install

install.packages('DCGL')

Monthly Downloads

44

Version

1.02

License

GPL (> 2)

Maintainer

BaoHong Liu

Last Published

December 8th, 2010

Functions in DCGL (1.02)

varianceBasedfilter

To filter genes according to expression variability
expressionBasedfilter

To filter genes according to expression level
systematicLinkfilter

A systematic procedure for estimating a cutoff threshold of coexpression networks
Simulated.ABC

Simulated datasets based on deliberately-perturbed gene regulation networks (Yu, et al., 2010)
DCe

To identify DCGs (Differentially-Coexpressed Genes) and DCLs (Differentially-Coexpressed Links)
WGCNA

To identify DCGs (Differentially-Coexpressed genes) based on the 'Weighted Gene Coexpression Network Analysis'
LRC

Identify DCGs (Differentially-Coexpressed genes) based on 'Log Ratio Connections'
qLinkfilter

To filter gene coexpression links according to the q-values of expression correlation values
dataB

Simulated dataset based on deliberately-perturbed gene regulation networks (Yu, et al., 2010)
dataC

Simulated dataset based on deliberately-perturbed gene regulation networks (Yu, et al., 2010)
DCGL-package

Differential Coexpression Analysis of Microarray Data
percentLinkfilter

To filter gene coexpression links according to the max expression correlation value
dataA

Simulated dataset based on deliberately-perturbed gene regulation networks (Yu, et al., 2010)
ASC

Identify DCGs (Differentially-Coexpressed genes) based on 'Average Specific Connection'
DCp

To identify DCGs (Differentially-Coexpressed genes) based on the 'Differential Coexpression Profile'
LFC

Select DCLs based on 'Limit Fold Change' model