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 Kathleen Greenham, Ryan C Sartor, Stevan Zorich, Ping Lou, Todd C Mockler and C. Robertson McClung (2020) <doi:10.1101/2020.04.03.024281>.

Version: 1.0
Depends: R (≥ 2.10)
Imports: limma, WGCNA, ggplot2
Suggests: edgeR
Published: 2020-05-05
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
CRAN checks: DiPALM results


Reference manual: DiPALM.pdf
Package source: DiPALM_1.0.tar.gz
Windows binaries: r-devel: DiPALM_1.0.zip, r-release: DiPALM_1.0.zip, r-oldrel: DiPALM_1.0.zip
macOS binaries: r-release: DiPALM_1.0.tgz, r-oldrel: not available


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