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 the mutual information (MI)
method and several correlation methods, including 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).
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: |
1.0.4 |
| Depends: |
R (≥ 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots, gWidgets, gWidgetsRGtk2, parmigene, stringr, snowfall |
| Suggests: |
ctc |
| Published: |
2012-09-22 |
| Author: |
Chuang Ma, Xiangfeng Wang |
| Maintainer: |
Chuang Ma <chuangma2006 at gmail.com> |
| License: |
GPL (≥ 2) |
| NeedsCompilation: |
yes |
| CRAN checks: |
rsgcc results |
Downloads: