Integrative gene network construction for predicting a set of complementary prostate cancer genes

Jaegyoon Ahn, Youngmi Yoon, Chihyun Park, Eunji Shin, Sanghyun Park

Abstract: : Diagnosis and prognosis of cancer and understanding oncogenesis within the context of biological pathways is one of the most important research areas in bioinformatics. Recently, there have been several attempts to integrate interactome and transcriptome data to identify subnetworks that provide limited interpretations of known and candidate cancer genes, as well as increase classification accuracy. However, these studies provide little information about the detailed roles of identified cancer genes.