Gene expression Applications of beta-mixture models in bioinformatics

@inproceedings{Ji2005GeneEA,
  title={Gene expression Applications of beta-mixture models in bioinformatics},
  author={Yuan Ji and Chunlei Wu and Ping Liu and Jing Wang and Kevin R. Coombes},
  year={2005}
}
Summary: We propose a beta-mixture model approach to solve a variety of problems related to correlations of gene-expression levels. For example, in meta-analyses of microarray gene-expression datasets, a threshold value of correlation coefficients for gene-expression levels is used to decide whether gene-expression levels are strongly correlated across studies. Ad hoc threshold values such as 0.5 are often used. In this paper, we use a beta-mixture model approach to divide the correlation… CONTINUE READING
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