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RLMM

A Genotype Calling Algorithm for Affymetrix SNP Arrays

Bioconductor version: 3.23 · Package version: 1.74.0

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 branchRELEASE_3_23
biocViewsGeneticVariability, Microarray, OneChannel, SNP, Software

Documentation

Download

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

Source packageRLMM_1.74.0.tar.gz
Windows binary (x86_64)RLMM_1.74.0.zip
macOS binary (arm64)RLMM_1.74.0.tgz
macOS binary (x86_64)RLMM_1.74.0.tgz
Dependencies

Depends: R (>= 2.1.0)

Imports: graphics, grDevices, MASS, stats, utils