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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.