Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature

We have developed a gene-gene (G-G) relation browser that combines fuzzy sequential pattern mining and information-extraction model to extract from biomedical literature knowledge on gene-gene interactions. Our approach aims to detect associated G-G relations that are often discussed in documents. Integration of the related relations lead to an individual G-G network. Graphic presentations are to be used to demonstrate the relationships between gene products.