DiPALM: Differential Pattern Analysis via Linear Modeling

Individual gene expression patterns are encoded into a series of eigenvector patterns ('WGCNA' package). Using the framework of linear model-based differential expression comparisons ('limma' package), time-course expression patterns for genes in different conditions are compared and analyzed for significant pattern changes. For reference, see: Greenham K, Sartor RC, Zorich S, Lou P, Mockler TC and McClung CR. eLife. 2020 Sep 30;9(4). <doi:10.7554/eLife.58993>.

Version:	1.2
Depends:	R (≥ 2.10)
Imports:	limma, WGCNA, ggplot2
Suggests:	edgeR
Published:	2022-06-27
DOI:	10.32614/CRAN.package.DiPALM
Author:	Ryan C. Sartor, Kathleen Greenham
Maintainer:	Ryan C. Sartor <sartorry at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	DiPALM citation info
In views:	Omics
CRAN checks:	DiPALM results

Documentation:

Reference manual:

DiPALM.pdf

Downloads:

Package source:	DiPALM_1.2.tar.gz
Windows binaries:	r-devel: DiPALM_1.2.zip, r-release: DiPALM_1.2.zip, r-oldrel: DiPALM_1.2.zip
macOS binaries:	r-release (arm64): DiPALM_1.2.tgz, r-oldrel (arm64): DiPALM_1.2.tgz, r-release (x86_64): DiPALM_1.2.tgz, r-oldrel (x86_64): DiPALM_1.2.tgz
Old sources:	DiPALM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DiPALM to link to this page.