Identification of PE Genes in Cell Cycle
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.