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A hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification
BACKGROUND: Mixtures of beta distributions are a flexible tool for modeling data with values on the unit interval, such as methylation levels. However, maximum likelihood parameter estimation with beta distributions suffers from problems because of singularities in the log-likelihood function if som...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563068/ https://www.ncbi.nlm.nih.gov/pubmed/28828033 http://dx.doi.org/10.1186/s13015-017-0112-1 |