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RLMM

A Genotype Calling Algorithm for Affymetrix SNP Arrays

Bioconductor version: 3.24 · Package version: 1.75.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RLMM")

Details

MaintainerNusrat Rabbee <nrabbee@post.harvard.edu>
AuthorNusrat Rabbee <nrabbee@post.harvard.edu>, Gary Wong <wongg62@berkeley.edu>
LicenseLGPL (>= 2)
URLhttp://www.stat.berkeley.edu/users/nrabbee/RLMM
System RequirementsInternal files Xba.CQV, Xba.regions (or other regions file)
Downloads rank435
Source branchdevel
biocViewsGeneticVariability, Microarray, OneChannel, SNP, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRLMM_1.75.0.tar.gz
Windows binary (x86_64)RLMM_1.75.0.zip
macOS binary (arm64)RLMM_1.75.0.tgz
macOS binary (x86_64)RLMM_1.75.0.tgz
Dependencies

Depends: R (>= 2.1.0)

Imports: graphics, grDevices, MASS, stats, utils