Package: DGCA
Title: Differential Gene Correlation Analysis
Description: 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>.
Version: 1.0.1
Author: Bin Zhang [aut],
    Andrew McKenzie [aut, cre]
Maintainer: Andrew McKenzie <amckenz@gmail.com>
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
VignetteBuilder: knitr
RoxygenNote: 5.0.1
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2016-11-17 15:51:18 UTC; amckenz
Repository: CRAN
Date/Publication: 2016-11-17 18:33:47
Built: R 3.2.5; ; 2017-04-20 08:52:19 UTC; windows
