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DiPALM
View on CRAN: Click
here
Download and install DiPALM package within the R console
Install from CRAN:
install.packages("DiPALM")
Install from Github:
library("remotes")
install_github("cran/DiPALM")
Install by package version:
library("remotes")
install_version("DiPALM", "1.2")
Attach the package and use:
library("DiPALM")
Maintained by
Ryan C. Sartor
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-05
Latest Update: 2022-06-27
Description:
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). .
How to cite:
Ryan C. Sartor (2020). DiPALM: Differential Pattern Analysis via Linear Modeling. R package version 1.2, https://cran.r-project.org/web/packages/DiPALM. Accessed 21 Nov. 2024.
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Other R packages that DiPALM depends,
imports, suggests or enhances
Complete documentation for DiPALM
Functions, R codes and Examples using
the DiPALM R package
Some associated functions: AdjustPvalue . BlankPlot . BuildLimmaLM . BuildModMembership . DiPALM-package . PlotTCs . PlotTCsRibbon . exampleData . ggPlotMultiDensities . testData .
Some associated R codes: AdjustPvalue.R . BlankPlot.R . BuildLimmaLM.R . BuildModMembership.R . PlotTCs.R . PlotTCsRibbon.R . ggPlotMultiDensities.R . Full DiPALM package functions and examples
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