Bioinformatics. 2006 May 1;22(9):1144-6. Epub 2006 Mar 13.

BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.

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Hutchison-MRC Research Centre, Department of Oncology, Computational Biology Group, University of Cambridge Hills Road, Cambridge. J.Marioni@damtp.cam.ac.uk

Abstract

SUMMARY: We have developed a new method (BioHMM) for segmenting array comparative genomic hybridization data into states with the same underlying copy number. By utilizing a heterogeneous hidden Markov model, BioHMM incorporates relevant biological factors (e.g. the distance between adjacent clones) in the segmentation process.

PMID:: 16533818; [PubMed - indexed for MEDLINE]

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BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.
BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.
Bioinformatics. 2006 May 1 ;22(9):1144-6. Epub 2006 Mar 13 .

PubMed
Hidden copy number variation in the HapMap population.
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PubMed
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