Using mixture models to detect differentially expressed genes

@inproceedings{McLachlan2005UsingMM,
  title={Using mixture models to detect differentially expressed genes},
  author={Geoffrey J. McLachlan and Richard Bean and Liat Ben-Tovim Jones and Justin Xi Zhu},
  year={2005}
}
An important and common problem in microarray experiments is the detection of genes that are differentially expressed in a given number of classes. As this problem concerns the selection of significant genes from a large pool of candidate genes, it needs to be carried out within the framework of multiple hypothesis testing. In this paper, we focus on the use of mixture models to handle the multiplicity issue. With this approach, a measure of the local false discovery rate is provided for each… CONTINUE READING

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