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1: Bioinformatics. 2006 May 1;22(9):1144-6. Epub 2006 Mar 13.Click here to read Links

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

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

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]