A Beta-mixture model for dimensionality reduction, sample classification and analysis

@inproceedings{Laurila2010ABM,
  title={A Beta-mixture model for dimensionality reduction, sample classification and analysis},
  author={Kirsti Laurila and Bodil Oster and Claus Lindbjerg Andersen and Philippe Lamy and Torben F. \Orntoft and Olli P. Yli-Harja and Carsten Wiuf},
  booktitle={BMC Bioinformatics},
  year={2010}
}
Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper we propose a beta-mixture model to describe genome-wide methylation patterns based on probe data from methylation microarrays. The model takes dependencies between neighbour probe pairs into account and assumes three broad categories of methylation, low, medium and high. The model is described by 37 parameters, which reduces the… CONTINUE READING
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