Package: dhga 0.1

dhga: Differential Hub Gene Analysis

Identification of hub genes in a gene co-expression network from gene expression data. The differential network analysis for two contrasting conditions leads to the identification of various types of hubs like Housekeeping, Unique to stress (Disease) and Unique to control (Normal) hub genes.

Authors:Samarendra Das <[email protected]> and Baidya Nath Mandal <[email protected]>

dhga_0.1.tar.gz
dhga_0.1.zip(r-4.5)dhga_0.1.zip(r-4.4)dhga_0.1.zip(r-4.3)
dhga_0.1.tgz(r-4.4-any)dhga_0.1.tgz(r-4.3-any)
dhga_0.1.tar.gz(r-4.5-noble)dhga_0.1.tar.gz(r-4.4-noble)
dhga_0.1.tgz(r-4.4-emscripten)dhga_0.1.tgz(r-4.3-emscripten)
dhga.pdf |dhga.html✨
dhga/json (API)

# Install 'dhga' in R:
install.packages('dhga', repos = c('https://samarendra88.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • rice_normal - The gene expression data of rice under control or normal condition
  • rice_salt - The gene expression data of rice under salinity stress condition

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.36 score 5 dependencies 1 mentions 10 scripts 189 downloads

Last updated 8 years agofrom:732ad84d28. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:AdjacencyDiffHubhub.pval.cutoffhub.wgsHubPlotHubStatuspvalue.hubWeightedGeneScore

Dependencies:formatRfutile.loggerfutile.optionslambda.rVennDiagram