The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Rapid advancements in high-throughput gene sequencing technologies have resulted in genome-scale time-series datasets. Uncovering the underlying temporal sequence of gene regulatory events in the form of time-varying gene regulatory networks demands accurate and computationally efficient algorithms. Such an algorithm is 'TGS'. It is proposed in Saptarshi Pyne, Alok Ranjan Kumar, and Ashish Anand. Rapid reconstruction of time-varying gene regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1):278{291, Jan-Feb 2020. The TGS algorithm is shown to consume only 29 minutes for a microarray dataset with 4028 genes. This package provides an implementation of the TGS algorithm and its variants.
Version: | 1.0.1 |
Imports: | rjson, bnstruct, ggm, foreach, doParallel, minet (≥ 3.38.0) |
Suggests: | R.rsp, testthat (≥ 2.1.0), knitr, rmarkdown |
Published: | 2020-05-07 |
DOI: | 10.32614/CRAN.package.TGS |
Author: | Saptarshi Pyne |
Maintainer: | Saptarshi Pyne <saptarshipyne01 at gmail.com> |
BugReports: | https://github.com/sap01/TGS/issues |
License: | CC BY-NC-SA 4.0 |
URL: | https://www.biorxiv.org/content/early/2018/06/14/272484, https://github.com/sap01/TGS |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Omics |
CRAN checks: | TGS results |
Reference manual: | TGS.pdf |
Vignettes: |
Chap 1: A Quick Start Guide |
Package source: | TGS_1.0.1.tar.gz |
Windows binaries: | r-devel: TGS_1.0.1.zip, r-release: TGS_1.0.1.zip, r-oldrel: TGS_1.0.1.zip |
macOS binaries: | r-release (arm64): TGS_1.0.1.tgz, r-oldrel (arm64): TGS_1.0.1.tgz, r-release (x86_64): TGS_1.0.1.tgz, r-oldrel (x86_64): TGS_1.0.1.tgz |
Old sources: | TGS archive |
Please use the canonical form https://CRAN.R-project.org/package=TGS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.