rsgcc (1.0.4)
Gini methodology-based correlation and clustering analysis of microarray and RNA-Seq gene expression data.
http://cran.r-project.org/web/packages/rsgcc
This package provides functions for calculating associations between two genes with the mutual informaiton (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).
Maintainer:
Chuang Ma
Author(s): Chuang Ma, Xiangfeng Wang
License: GPL (>= 2)
Uses: biwt, cairoDevice, fBasics, gplots, gWidgets, gWidgetsRGtk2, parmigene, snowfall, stringr
Released 8 months ago.
4 previous versions
- rsgcc_1.0.3. Released 10 months ago.
- rsgcc_1.0.2. Released 11 months ago.
- rsgcc_1.0.1. Released about 1 year ago.
- rsgcc_1.0. Released about 1 year ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of rsgcc yet. Want to be the first? Write one now.
Related packages: … (20 best matches, based on common tags.)
Search for rsgcc on google, google scholar, r-help, r-devel.
Visit rsgcc on R Graphical Manual.
