massiR
This is the released version of massiR; for the devel version, see massiR.
massiR: MicroArray Sample Sex Identifier
Bioconductor version: Release (3.20)
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")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("massiR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("massiR")| massiR_Example | R Script | |
| Reference Manual |
Details
| biocViews | Classification, Clustering, GeneExpression, Microarray, QualityControl, Software |
| Version | 1.42.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
| License | GPL-3 |
| Depends | cluster, gplots, diptest, Biobase, R (>= 3.0.2) |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | biomaRt, RUnit, BiocGenerics |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | massiR_1.42.0.tar.gz |
| Windows Binary (x86_64) | massiR_1.42.0.zip |
| macOS Binary (x86_64) | massiR_1.42.0.tgz |
| macOS Binary (arm64) | massiR_1.42.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/massiR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/massiR |
| Bioc Package Browser | https://code.bioconductor.org/browse/massiR/ |
| Package Short Url | https://bioconductor.org/packages/massiR/ |
| Package Downloads Report | Download Stats |