To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("massiR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
Predicts the sex of samples in gene expression microarray datasets
Author: Sam Buckberry
Maintainer: Sam Buckberry <sam.buckberry at adelaide.edu.au>
Citation (from within R,
enter citation("massiR")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("massiR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("massiR")
| R Script | massiR_Example | |
| Reference Manual |
| biocViews | Classification, Clustering, GeneExpression, Microarray, QualityControl, Software |
| Version | 1.0.1 |
| In Bioconductor since | BioC 2.14 (R-3.1) |
| License | GPL-3 |
| Depends | cluster, gplots, diptest, Biobase, R (>= 3.0.2) |
| Imports | |
| Suggests | biomaRt, RUnit, BiocGenerics |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Follow Installation instructions to use this package in your R session.
| Package Source | massiR_1.0.1.tar.gz |
| Windows Binary | massiR_1.0.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | massiR_1.0.1.tgz |
| Mac OS X 10.9 (Mavericks) | massiR_1.0.1.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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