Ubuntu
r-cran-rsgcc package

r-cran-rsgcc 1.0.6-2 source package in Ubuntu

Changelog

r-cran-rsgcc (1.0.6-2) unstable; urgency=medium

  * Team upload.
  * dh-update-R to update Build-Depends
  * Trim trailing whitespace.

 -- Dylan Aïssi <email address hidden>  Mon, 24 Feb 2020 11:48:37 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Downloads

File Size SHA-256 Checksum
r-cran-rsgcc_1.0.6-2.dsc 2.2 KiB 333c2eb39f39e27c82ba43799e79f2a6210ad518b16aa17627359e3f5f1b8f33
r-cran-rsgcc_1.0.6.orig.tar.gz 50.5 KiB 10e6c323f32734624c534e821730f33744b2eb771ab19ce76bb02e659eeec889
r-cran-rsgcc_1.0.6-2.debian.tar.xz 12.9 KiB 19c52558e7651f2e33bc66e276a3e70473492d2887beacabb3199844dc309fd9

Available diffs

No changes file available.

Binary packages built by this source

r-cran-rsgcc: Gini correlation and clustering of 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).

r-cran-rsgcc-dbgsym: debug symbols for r-cran-rsgcc