A Genotype Calling Algorithm for Affymetrix SNP Arrays
Description
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.