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-4.7)dhga_0.1.zip(r-4.6)dhga_0.1.zip(r-4.5)
dhga_0.1.tgz(r-4.6-any)dhga_0.1.tgz(r-4.5-any)
dhga_0.1.tar.gz(r-4.7-any)dhga_0.1.tar.gz(r-4.6-any)
dhga_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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 208 downloads 1 mentions 8 exports 5 dependencies

Last updated from:732ad84d28. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK167
linux-release-x86_64OK99
macos-release-arm64OK108
macos-oldrel-arm64OK102
windows-develOK177
windows-releaseOK83
windows-oldrelOK71
wasm-releaseOK116

Exports:AdjacencyDiffHubhub.pval.cutoffhub.wgsHubPlotHubStatuspvalue.hubWeightedGeneScore

Dependencies:formatRfutile.loggerfutile.optionslambda.rVennDiagram