Construction of Cancer Molecular Network Based on Clustering and Analysis of Pathogenic Genes
The prediction of disease genes is an important branch in bioinformatics.Researches on disease biomarkers will help uncover the underlying disease pathogenesis and guide personalized treatment.This paper proposes a method to construct disease networks guided by known disease-related genes and predict disease genes.Firstly,diffusion kernel is used to construct six disease networks for six kinds of cancer(lung cancer,prostate cancer,breast cancer,bladder cancer,colorectal cancer,endometrial cancer).Then,a fast clustering algorithm is applied in disease networks after which a novel scoring method is proposed to score candidate genes.The Experimental results show that the proposed method can effectively construct disease molecular networks and predict the genes that are highly associated with specific cancers.
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