Possible Disease-Link Genetic Pathways Constructed by Hierarchical Clustering and Conditional Probabilities of Ovarian Carcinoma Microarray Data

Different genes have different biological functions, these functions interactions between genes, moreover they play an important role in gene regulatory networks. In the recent cancer research field, a definite conclusion for the regulatory mechanisms of tumor genesis and metastasis has yet been found. Therefore we will apply oncogenes and suppressor genes from ovarian carcinoma micro array data analysis, using hierarchical clustering combined with Bayesian theorem to identify regulatory pathways. There are 19 regulatory paths identified by this scheme which include Wnt signaling pathway, TGF-β singling pathway, Gap junction and Pathway in cancer. Moreover we can understand the inhibition or activation between genes as well as their directions with validation by referring to the databases. The purpose of analytical method is not only analyzing complex cancer pathways or mechanism, but also tries to discover a more effective treatment path or model for cancer research in the future.