DDPNA: Disease-Drived Differential Proteins Co-Expression Network Analysis

Functions designed to connect disease-related differential proteins and co-expression network. It provides the basic statics analysis included t test, ANOVA analysis. The network construction is not offered by the package, you can used 'WGCNA' package which you can learn in Peter et al. (2008) <doi:10.1186/1471-2105-9-559>. It also provides module analysis included PCA analysis, two enrichment analysis, Planner maximally filtered graph extraction and hub analysis.

Version: 0.3.0
Depends: R (≥ 3.5)
Imports: stats, ggplot2, ggalt, MEGENA, igraph, Hmisc, utils, grDevices, plyr, scales, grid, VennDiagram
Suggests: WGCNA, Biostrings, impute, ggfortify
Published: 2021-07-29
Author: Kefu Liu [aut, cre]
Maintainer: Kefu Liu <liukefu19 at 163.com>
BugReports: https://github.com/liukf10/DDPNA/issues
License: GPL-2
URL: https://github.com/liukf10/DDPNA
NeedsCompilation: no
Materials: README
CRAN checks: DDPNA results

Downloads:

Reference manual: DDPNA.pdf
Package source: DDPNA_0.3.0.tar.gz
Windows binaries: r-devel: DDPNA_0.3.0.zip, r-release: DDPNA_0.3.0.zip, r-oldrel: DDPNA_0.3.0.zip
macOS binaries: r-release (arm64): DDPNA_0.3.0.tgz, r-release (x86_64): DDPNA_0.3.0.tgz, r-oldrel: DDPNA_0.3.0.tgz
Old sources: DDPNA archive

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