Figure 2
From: MeInfoText: associated gene methylation and cancer information from text mining
The text mining approach and information integration for MeInfoText. Literature about human, methylation and cancer is collected from PubMed and annotated with gene symbols. The most recent 100 gene-annotated abstracts are manually checked to reduce false named entity recognitions and enhance dictionary coverage. The gene-annotated documents are indexed with Plucene module and then mined according to the frequencies of co-occurrences of entities. Various association, protein-protein interaction and pathway information are stored in the relational database, MeInfoText. Users can search the database via the web interface. Thick arrow indicates the basic workflow of MeInfoText.