doi: 10.1093/bioinformatics/btl089.
Epub 2006 Mar 13.
BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data
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- PMID: 16533818
- DOI: 10.1093/bioinformatics/btl089
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BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data
Bioinformatics.
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Abstract
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.
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