RGSEA (version 1.6.2)

Random Gene Set Enrichment Analysis

Description

Combining bootstrap aggregating and Gene set enrichment analysis (GSEA), RGSEA is a classfication algorithm with high robustness and no over-fitting problem. It performs well especially for the data generated from different exprements.

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Version

1.6.2

License

GPL(>=3)

Maintainer

Chengcheng Ma

Last Published

February 15th, 2017

Functions in RGSEA (1.6.2)

RGSEA-package

Random Gene Set Enrichment Analysis (RGSEA)

Data from GDS4100

RGSEAfix

Random Gene Set Enrichment Analysis with fixed number of features

RGSEApredict

Predict the class of the query data with the result of RGSEA functions

Data from GDS4102

cmap

Data from Connectivity map build 01

RGSEAsd

Random Gene Set Enrichment Analysis features selected based on standard deviation from the mean value