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


Reference manual: DiPALM.pdf


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


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