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Fast MCMC sampling for hidden markov models to determine copy number variations
BACKGROUND: Hidden Markov Models (HMM) are often used for analyzing Comparative Genomic Hybridization (CGH) data to identify chromosomal aberrations or copy number variations by segmenting observation sequences. For efficiency reasons the parameters of a HMM are often estimated with maximum likeliho...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371636/ https://www.ncbi.nlm.nih.gov/pubmed/22047014 http://dx.doi.org/10.1186/1471-2105-12-428 |