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CRLMM

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Implements a multilevel model adjusting for batch effects and providing allele-specific estimates of copy number. The CRLMM algorithm estimates genotypes through a hierarchical model for the log ratios of A:B intensities that accounts for the dependency on intensity strength, batch effects, and the uncertainty of parameters estimated from the training step. For each platform design supported by CRLMM, we provide one annotation package that contains parameters estimated from the training data for every SNP-genotype combination.

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CRLMM forum

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CRLMM classification

CRLMM specifications

Software type:
Package/Module
Restrictions to use:
None
Operating system:
Unix/Linux, Mac OS, Windows
License:
Artistic License version 2.0
Stability:
Stable
Interface:
Command line interface
Biological technology:
Illumina, Affymetrix
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes

CRLMM distribution

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No versioning.

CRLMM support

Documentation

Maintainer

  • Benilton Carvalho <>

Credits

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Publications

Institution(s)

Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA

Link to literature

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