Information retrieval for complex disease and cancer


Biological events such as gene expression, regulation, phosphorylation, localization, and protein catabolism play important roles in the development of diseases. Understanding the association between diseases and genes can be enhanced with the identification of involved biological events in this association. Although biological knowledge has been accumulated in several databases and can be accessed through the Web, there is no specialized Web tool yet allowing for a query into the relationship among diseases, genes, and molecular events. For this, We construct a disease-oriented search engine to support disease-related candidate genes from biological data sets by developing the text mining system.