A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis

Colorectal cancer is the third most commonly diagnosed cancer in the world. Microarray-based colorectal cancer diagnosis is increasingly paid more and more attentions. In view of a number of pathway information available in the KEGG database, this paper proposes to model pathways for colorectal cancer diagnosis, and as a result, a pathway-based classification method is developed. The proposed method can extract pathway information through modeling gene associations in a pathway via regression. Experimental results on six pathways show that the proposed method remarkably improves the performance of microarray-based colorectal cancer diagnosis.