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 <firstname.lastname@example.org>, Gary Wong <email@example.com>|
|Bioconductor views||GeneticVariability Microarray OneChannel SNP|
|Date of publication||None|
|Maintainer||Nusrat Rabbee <firstname.lastname@example.org>|
|License||LGPL (>= 2)|
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