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A pageranking based method for identifying characteristic genes of a disease

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3 Author(s)
Dang Thanh Hai ; Faculty of IT, SYSlab, College of Technology, Vietnam National University, Hanoi, 144, Xuan Thuy, Cau Giay, Ha Noi, Viet Nam. ; Wonjun Lee ; Ha Quang Thuy

Ranking is an importance task in the research field of complex biological networks, including gene networks. In this article, we propose a method for ranking the genes causing a specific type of disease, special characteristics of samples under a particular condition. Genes with the highest scores may be considered as the key factors leading to the development of disease type in the studied samples. The experience results on the gene expression data of two subtypes of Leukemia cancer disease, i.e., ALB and ALT for B-cells and T-cells are respectively shown.

Published in:

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Date of Conference:

6-8 April 2008