BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 16533818.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Algorithms
- Chromosome Mapping
- Gene Dosage
- In Situ Hybridization
- Oligonucleotide Array Sequence Analysis
- Sequence Analysis, DNA
- Software