CRAN/E | DGCA

DGCA

Differential Gene Correlation Analysis

Installation

About

Performs differential correlation analysis on input matrices, with multiple conditions specified by a design matrix. Contains functions to filter, process, save, visualize, and interpret differential correlations of identifier-pairs across the entire identifier space, or with respect to a particular set of identifiers (e.g., one). Also contains several functions to perform differential correlation analysis on clusters (i.e., modules) or genes. Finally, it contains functions to generate empirical p-values for the hypothesis tests and adjust them for multiple comparisons. Although the package was built with gene expression data in mind, it is applicable to other types of genomics data as well, in addition to being potentially applicable to data from other fields entirely. It is described more fully in the manuscript introducing it, freely available at doi:10.1186/s12918-016-0349-1.

Key Metrics

Version 1.0.3
R ≥ 3.2
Published 2023-03-15 401 days ago
Needs compilation? no
License GPL-3
CRAN checks DGCA results

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Maintainer

Maintainer

Andrew McKenzie

amckenz@gmail.com

Authors

Bin Zhang

aut

Andrew McKenzie

aut / cre

Material

README
Reference manual
Package source

Vignettes

Basic DGCA Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DGCA archive

Depends

R ≥ 3.2

Imports

WGCNA
matrixStats
methods

Suggests

knitr
impute
gplots
fdrtool
testthat
ggplot2
plotrix
GOstats
HGNChelper
org.Hs.eg.db
AnnotationDbi
abind
MEGENA
Matrix
doMC
igraph
cowplot
stats
utils