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A Bayesian Approach To Pathway Analysis By Integrating Gene–Gene Functional Directions And Microarray Data, David W. Rowe, Yifang Zhao, Ming-Hui Chen, Dong-Guk Shin, Lynn Kuo

UCHC Articles - Research

Many statistical methods have been developed to screen for differentially expressed genes associated with specific phenotypes in the microarray data. However, it remains a major challenge to synthesize the observed expression patterns with abundant biological knowledge for more complete understanding of the biological functions among genes. Various methods including clustering analysis on genes, neural network, Bayesian network and pathway analysis have been developed toward this goal. In most of these procedures, the activation and inhibition relationships among genes have hardly been utilized in the modeling steps. We propose two novel Bayesian models to integrate the microarray data with the putative …