Journal
BIOINFORMATICS
Volume 22, Issue 9, Pages 1144-1146Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btl089
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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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