massiR
This is thereleased version of massiR; for the devel version, seemassiR.
massiR: MicroArray Sample Sex Identifier
Bioconductor version: Release (3.22)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("massiR")For older versions of R, please refer to the appropriateBioconductor 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 | 1.46.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (11.5 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
FollowInstallation instructions to use this package in your R session.
| Source Package | massiR_1.46.0.tar.gz |
| Windows Binary (x86_64) | massiR_1.46.0.zip |
| macOS Binary (x86_64) | massiR_1.46.0.tgz |
| macOS Binary (arm64) | massiR_1.46.0.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 |