Package: RLMM 1.67.0

Nusrat Rabbee

RLMM: A Genotype Calling Algorithm for Affymetrix SNP Arrays

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.

Authors:Nusrat Rabbee <[email protected]>, Gary Wong <[email protected]>

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Peer review:

On BioConductor:RLMM-1.67.0(bioc 3.20)RLMM-1.66.0(bioc 3.19)

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4 exports 0.82 score 1 dependencies 4 mentions 48 downloads

Last updated 2 months agofrom:2bf3fbaf65

Exports:Classifycreate_Thetafilenormalize_Rawfilesplot_theta

Dependencies:MASS