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.
| Author |
Nusrat Rabbee , Gary Wong
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| Maintainer |
Nusrat Rabbee |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RLMM")
Vignettes (Documentation)
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Package Downloads
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