BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data |
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| Authors: | Marioni J C Thorne N P Tavaré S |
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| Affiliation: | Hutchison-MRC Research Centre, Department of Oncology, Computational Biology Group, University of Cambridge Hills Road, Cambridge. J.Marioni@damtp.cam.ac.uk |
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| 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. |
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