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Identification of PE Genes in Cell Cycle

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Tags: Cell Cycle, Microarray, Time Series

This note is based on Fan, X., Pyne, S., & Liu, J. S. (2010). Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle. The Annals of Applied Statistics, 4(2), 988–1013.



Identify genes with periodic expression during the cell cycle from genome-wide microarray time series data.


  • Lack of rigorous modeling of periodic expression
  • Lack of a comprehensive model for integrating information across genes and experiments.


a Bayesian model to integrate multiple independent microarray data sets from three recent genome-wide cell cycle studies on fission yeast.

a hierarchical model was used for data integration

a novel MH group move to facilitate an efficient Monte Carlo sampling


more than 40% of the genes in fission yeast are significantly periodically expressed, calls for a reconsideration of the periodically expressed gene detection problem.


  • Periodically Expressed (PE) genes
  • APeriodically Expressed (APE) genes

Identification of PE genes is important:

  • the need to understand the different mechanisms underlying these genes’ involvements in the cell cycle processes
  • the biological links between cell cycle control and many diseases such as cancer.

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