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IGST (version 0.1.0)

Informative Gene Selection Tool

Description

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.

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Version

Install

install.packages('IGST')

Monthly Downloads

144

Version

0.1.0

License

GPL-3

Maintainer

Nitesh Sharma

Last Published

January 31st, 2020

Functions in IGST (0.1.0)

IGST.bootmrmrsvm.pval.cutoff

Gene selection using SVM and MRMR feature selection techniques with bootstrapping procedure
IGST.bootmrmrsvm.weight.cutoff

Identification of informative gene set based on weights obtained from SVM and MRMR feature selection technique with bootstrapping procedure
rice_cold

A gene expression dataset of rice under cold stress
IGST.pval.bootmrmrsvm

Computation of statistical significance values for genes using SVM and MRMR feature selection technique with bootstrapping procedure
IGST.weight.bootmrmrsvm

Computation of weights for informative genes or gene set selection using SVM and MRMR feature selection technique with bootstrapping procedure