A hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification

A hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification

Abstract 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 functio...

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Bibliographic Details
Main Authors: Christopher Schröder, Sven Rahmann
Format: Article
Language:English
Published: BMC 2017-08-01
Series:Algorithms for Molecular Biology
Subjects:
Mixture model
Beta distribution
Maximum likelihood
Method of moments
EM algorithm
Differential methylation
Online Access:http://link.springer.com/article/10.1186/s13015-017-0112-1

Internet

http://link.springer.com/article/10.1186/s13015-017-0112-1

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