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-any)dhga_0.1.zip(r-4.6-any)dhga_0.1.zip(r-4.5-any)
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
DESCRIPTION
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 230 downloads 1 mentions 8 exports 5 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK161
source / vignettesOK157
linux-release-x86_64OK106
macos-release-arm64OK72
macos-oldrel-arm64OK118
windows-develOK67
windows-releaseOK72
windows-oldrelOK74
wasm-releaseOK92

Exports:AdjacencyDiffHubhub.pval.cutoffhub.wgsHubPlotHubStatuspvalue.hubWeightedGeneScore

Dependencies:formatRfutile.loggerfutile.optionslambda.rVennDiagram