Literature Extraction of Protein Functions Using Sentence Pattern Mining
IEEE Transactions on Knowledge and Data Engineering
Discovering gene-gene relations from sequential sentence patterns in biomedical literature
Expert Systems with Applications: An International Journal
Methodological Review: Extracting interactions between proteins from the literature
Journal of Biomedical Informatics
An Evolutionary General Purpose WebGIS to Disclose EGFR Mutations in Lung Cancer
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
PubMed smarter: Query expansion with implicit words based on gene ontology
Knowledge-Based Systems
IntEx: a syntactic role driven protein-protein interaction extractor for bio-medical text
ISMB '05 Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics
Reconstruction of protein-protein interaction pathways by mining subject-verb-objects intermediates
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
An IR-Aided Machine Learning Framework for the BioCreative II.5 Challenge
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
BioPubMiner: machine learning component-based biomedical information analysis platform
CIT'04 Proceedings of the 7th international conference on Intelligent Information Technology
Collaborative curation of data from bio-medical texts and abstracts and its integration
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
Text Mining in Bioinformatics: Research and Application
International Journal of Information Retrieval Research
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Summary: We present a biomedical text-mining system focused on four types of gene-related information: biological functions, associated diseases, related genes and gene--gene relations. The aim of this system is to provide researchers an easy-to-use bio-information service that will rapidly survey the rapidly burgeoning biomedical literature. Availability: http://iir.csie.ncku.edu.tw/~yuhc/gis/