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.
Significance Analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
Version: | 3.0 |
Imports: | impute, matrixStats, shiny, shinyFiles, openxlsx, GSA |
Published: | 2018-10-16 |
DOI: | 10.32614/CRAN.package.samr |
Author: | R. Tibshirani, Michael J. Seo, G. Chu, Balasubramanian Narasimhan, Jun Li |
Maintainer: | Rob Tibshirani <tibs at stanford.edu> |
License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
URL: | https://statweb.stanford.edu/~tibs/SAM |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | samr results |
Reference manual: | samr.pdf |
Package source: | samr_3.0.tar.gz |
Windows binaries: | r-devel: samr_3.0.zip, r-release: samr_3.0.zip, r-oldrel: samr_3.0.zip |
macOS binaries: | r-release (arm64): samr_3.0.tgz, r-oldrel (arm64): samr_3.0.tgz, r-release (x86_64): samr_3.0.tgz, r-oldrel (x86_64): samr_3.0.tgz |
Old sources: | samr archive |
Reverse imports: | SMDIC |
Reverse suggests: | broadSeq, cola, fishpond, st |
Please use the canonical form https://CRAN.R-project.org/package=samr 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.