Package: IGST 0.1.0

IGST: Informative Gene Selection Tool

Mining informative genes with certain biological meanings are important for clinical diagnosis of disease and discovery of disease mechanisms in plants and animals. This process involves identification of relevant genes and removal of redundant genes as much as possible from a whole gene set. This package selects the informative genes related to a specific trait using gene expression dataset. These trait specific genes are considered as informative genes. This package returns the informative gene set from the high dimensional gene expression data using a combination of methods SVM and MRMR (for feature selection) with bootstrapping procedure.

Authors:Nitesh Kumar Sharma, Dwijesh Chandra Mishra, Neeraj Budhlakoti and Md. Samir Farooqi

IGST_0.1.0.tar.gz
IGST_0.1.0.zip(r-4.7)IGST_0.1.0.zip(r-4.6)IGST_0.1.0.zip(r-4.5)
IGST_0.1.0.tgz(r-4.6-any)IGST_0.1.0.tgz(r-4.5-any)
IGST_0.1.0.tar.gz(r-4.7-any)IGST_0.1.0.tar.gz(r-4.6-any)
IGST_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
IGST/json (API)

# Install 'IGST' in R:
install.packages('IGST', repos = c('https://nitzzzzzzz.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • rice_cold - A gene expression dataset of rice under cold stress

On CRAN:

Conda:

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

1.85 score 6 scripts 191 downloads 7 mentions 4 exports 5 dependencies

Last updated from:50dc0a6309. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK175
linux-release-x86_64OK84
macos-release-arm64OK167
macos-oldrel-arm64OK195
windows-develOK62
windows-releaseOK95
windows-oldrelOK78
wasm-releaseOK88

Exports:IGST.bootmrmrsvm.pval.cutoffIGST.bootmrmrsvm.weight.cutoffIGST.pval.bootmrmrsvmIGST.weight.bootmrmrsvm

Dependencies:BootMRMRclasse1071MASSproxy