To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RLMM")
In most cases, you don't need to download the package archive at all.
This package is for version 2.12 of Bioconductor; for the stable, up-to-date release version, see RLMM.
Bioconductor version: 2.12
A classification algorithm, based on a multi-chip, multi-SNP approach for Affymetrix SNP arrays. Using a large training sample where the genotype labels are known, this aglorithm will obtain more accurate classification results on new data. RLMM is based on a robust, linear model and uses the Mahalanobis distance for classification. The chip-to-chip non-biological variation is removed through normalization. This model-based algorithm captures the similarities across genotype groups and probes, as well as thousands other SNPs for accurate classification. NOTE: 100K-Xba only at for now.
Author: Nusrat Rabbee <nrabbee at post.harvard.edu>, Gary Wong <wongg62 at berkeley.edu>
Maintainer: Nusrat Rabbee <nrabbee at post.harvard.edu>
Citation (from within R,
enter citation("RLMM")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RLMM")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RLMM")
R Script | RLMM Doc | |
Reference Manual |
biocViews | GeneticVariability, Microarray, OneChannel, SNP, Software |
Version | 1.22.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (10 years) |
License | LGPL (>= 2) |
Depends | R (>= 2.1.0) |
Imports | graphics, grDevices, MASS, stats, utils |
LinkingTo | |
Suggests | |
SystemRequirements | Internal files Xba.CQV, Xba.regions (or other regions file) |
Enhances | |
URL | http://www.stat.berkeley.edu/users/nrabbee/RLMM |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | RLMM_1.22.0.tar.gz |
Windows Binary | RLMM_1.22.0.zip |
Mac OS X 10.6 (Snow Leopard) | RLMM_1.22.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/RLMM/tree/release-2.12 |
Package Short Url | http://bioconductor.org/packages/RLMM/ |
Package Downloads Report | Download Stats |
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