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