rsgcc (1.0.1)

Gini methodology-based correlation and clustering analysis of both microarray and RNA-Seq gene expression data.

This package provides functions for calcluating Gini correlation coefficient (GCC) and performing GCC-based clustering analysis of gene expression data generated from both microarray and next-generation sequencing (RNA-Seq) technologies. Gini correlation outperforms Pearson correlation and Spearman correlation to identify regulatory relationships from both microarray and RNA-Seq data. In addtion, GCC has the capability of more robustness on non-distribution, less sensitivity to outlier data points and higher comatibility to RNA-Seq data.

Maintainer: Chuang Ma
Author(s): Chuang Ma, Xiangfeng Wang

License: GPL (>= 2)

Uses: biwt, fBasics, gplots, gWidgets, gWidgetsRGtk2, snowfall, stringr
Reverse depends: mlDNA

Released almost 8 years ago.