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DDPNA
View on CRAN: Click
here
Download and install DDPNA package within the R console
Install from CRAN:
install.packages("DDPNA")
Install from Github:
library("remotes")
install_github("cran/DDPNA") Install by package version:
library("remotes")
install_version("DDPNA", "0.4.1") Attach the package and use:
library("DDPNA")
Maintained by
Kefu Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-15
Latest Update: 2025-07-29
Description:
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) . It also provides module analysis
included PCA analysis, two enrichment analysis, Planner maximally filtered graph extraction and
hub analysis.
How to cite:
Kefu Liu (2019). DDPNA: Disease-Drived Differential Proteins Co-Expression Network Analysis. R package version 0.4.1, https://cran.r-project.org/web/packages/DDPNA. Accessed 26 Jun. 2026.
Previous versions and publish date:
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Other R packages that DDPNA depends,
imports, suggests or enhances
Complete documentation for DDPNA
Functions, R codes and Examples using
the DDPNA R package
Some associated functions: DDPNA-package . DEP_Mod_HeatMap . DEP_Mod_net_plot . DEPsets . Dforimpute . FCSenrichplot . ID_match . ME_inf . MaxQprotein . MaxquantDataconvert . Module_Enrich . Module_inf . P.G.extract . ProteomicData . Sample_ID_data . SoftThresholdScaleGraph . anova_p . changedID . dataStatInf . fc.pos . getmoduleHub . groupmean . imputedData . missing_value_impute . modpcomp . moduleID . multi.t.test . net . rename_dupnewID . single_mod_enrichplot . wgcnatest .
Some associated R codes: DEPextract.R . MaxquantDataconvert.R . Moduleconstruction.R . data.R . missing_value_impute.R . module_enrich.R . network.R . plot.R . Full DDPNA package functions and examples
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