Package: RLMM
Version: 1.12.0
Date: 2005-09-02
Title: A Genotype Calling Algorithm for Affymetrix SNP Arrays
Author: Nusrat Rabbee <nrabbee@post.harvard.edu>, Gary Wong
<wongg62@berkeley.edu>
Maintainer: Nusrat Rabbee <nrabbee@post.harvard.edu>
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.
License: LGPL (>= 2)
Depends: R (>= 2.1.0)
Imports: graphics, grDevices, MASS, stats, utils
SystemRequirements: Internal files Xba.CQV, Xba.regions (or other
regions file)
URL: http://www.stat.berkeley.edu/users/nrabbee/RLMM
biocViews: Microarray, OneChannel, SNP, GeneticVariability
Packaged: 2010-10-18 08:32:05 UTC; biocbuild
Repository: CRAN
Date/Publication: 2010-10-26 12:23:00

Package: RLMM
Version: 1.14.0
Date: 2005-09-02
Title: A Genotype Calling Algorithm for Affymetrix SNP Arrays
Author: Nusrat Rabbee <nrabbee@post.harvard.edu>, Gary Wong
<wongg62@berkeley.edu>
Maintainer: Nusrat Rabbee <nrabbee@post.harvard.edu>
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.
License: LGPL (>= 2)
Depends: R (>= 2.1.0)
Imports: graphics, grDevices, MASS, stats, utils
SystemRequirements: Internal files Xba.CQV, Xba.regions (or other
regions file)
URL: http://www.stat.berkeley.edu/users/nrabbee/RLMM
biocViews: Microarray, OneChannel, SNP, GeneticVariability
Packaged: 2011-04-14 06:34:29 UTC; biocbuild
Repository: CRAN
Date/Publication: 2011-04-26 19:17:31