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Sparsely correlated hidden Markov models with application to genome-wide location studies
Motivation: Multiply correlated datasets have become increasingly common in genome-wide location analysis of regulatory proteins and epigenetic modifications. Their correlation can be directly incorporated into a statistical model to capture underlying biological interactions, but such modeling quic...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3582268/ https://ncbi.nlm.nih.gov/pubmed/23325620 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt012 |
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