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

J. C. Marioni, N. P. Thorne, S. Tavare
2006 Bioinformatics  
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. Availability: BioHMM is available as part of the R library snapCGH which can be downloaded from
doi:10.1093/bioinformatics/btl089 pmid:16533818 fatcat:i4kimo7ph5cvjauys2a7je2dwy