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

Bioinformatics, Vol. 22, No. 9. (1 May 2006), pp. 1144-1146.

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algorithm analysis cgh software

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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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