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 245 downloads 1 mentions 8 exports 5 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK216
linux-releaseOK113
macos-releaseOK99
macos-oldrelOK85
windows-develOK63
windows-releaseOK60
windows-oldrelOK61
wasm-releaseOK100

Exports:AdjacencyDiffHubhub.pval.cutoffhub.wgsHubPlotHubStatuspvalue.hubWeightedGeneScore

Dependencies:formatRfutile.loggerfutile.optionslambda.rVennDiagram