APPLICATION OF BAYESIAN CLUSTERING TO THE ANALYSIS OF GENE EXPRESSION PROFILES
贝叶斯聚类在基因表达谱知识挖掘中的应用

A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles. It was applied to analyze two public gene expression data sets and some new biological knowledge was discovered. Compared with other clustering algorithms used in the gene expression profile analysis, this algorithm worked better both in the algorithmic and the biological sense.