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...

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Detalles Bibliográficos
Autores principales: Schröder, Christopher, Rahmann, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
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

Internet

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

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