rsgcc: Gini methodology-based correlation and clustering analysis of
microarray and RNA-Seq gene expression data
This package provides functions for calculating
associations between two genes with five correlation
methods(e.g., the Gini correlation coefficient [GCC], the
Pearson's product moment correlation coefficient [PCC], the
Kendall tau rank correlation coefficient [KCC], the Spearman's
rank correlation coefficient [SCC] and the Tukey's biweight
correlation coefficient [BiWt], and three non-correlation
methods (e.g., mutual information [MI] and the maximal
information-based nonparametric exploration [MINE], and the
euclidean distance [ED]). It can also been implemented to
perform the correlation and clustering analysis of
transcriptomic data profiled by microarray and RNA-Seq
technologies. Additionally, this package can be further applied
to construct gene co-expression networks (GCNs).
| Version: |
1.0.6 |
| Depends: |
R (≥ 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots, gWidgets, gWidgetsRGtk2, minerva, parmigene, stringr, snowfall |
| Suggests: |
bigmemory, ctc |
| Published: |
2013-06-18 |
| Author: |
Chuang Ma, Xiangfeng Wang |
| Maintainer: |
Chuang Ma <chuangma2006 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://www.cmbb.arizona.edu/ |
| NeedsCompilation: |
yes |
| CRAN checks: |
rsgcc results |
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Reverse dependencies:
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