To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ROTS")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
Calculates the Reproducibility-Optimized Test Statistic (ROTS) for differential testing in omics data.
Author: Fatemeh Seyednasrollah, Tomi Suomi, Laura L. Elo
Maintainer: Fatemeh Seyednasrollah <fatsey at utu.fi>
Citation (from within R,
enter citation("ROTS")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ROTS")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ROTS")
R Script | ROTS: Reproducibility Optimized Test Statistic | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, Microarray, Proteomics, RNASeq, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (1 year) |
License | GPL (>= 2) |
Depends | R (>= 3.3) |
Imports | Rcpp, stats, Biobase, methods |
LinkingTo | Rcpp |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | PECA |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ROTS_1.2.0.tar.gz |
Windows Binary | ROTS_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | ROTS_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ROTS/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/ROTS/ |
Package Downloads Report | Download Stats |
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