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
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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'))
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:

Conda:

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

1.00 score 10 scripts 145 downloads 1 mentions 8 exports 5 dependencies

Last updated 9 years agofrom:732ad84d28. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:AdjacencyDiffHubhub.pval.cutoffhub.wgsHubPlotHubStatuspvalue.hubWeightedGeneScore

Dependencies:formatRfutile.loggerfutile.optionslambda.rVennDiagram