Bayesian mixture model based clustering of replicated microarray data

  title={Bayesian mixture model based clustering of replicated microarray data},
  author={Mario Medvedovic and Ka Yee Yeung and Roger Eugene Bumgarner},
  volume={20 8},
MOTIVATION Identifying patterns of co-expression in microarray data by cluster analysis has been a productive approach to uncovering molecular mechanisms underlying biological processes under investigation. Using experimental replicates can generally improve the precision of the cluster analysis by reducing the experimental variability of measurements. In such situations, Bayesian mixtures allow for an efficient use of information by precisely modeling between-replicates variability. RESULTS… CONTINUE READING
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