Research | People | Academics | News and Meetings | Publications-online | Media Mentions | Relevant Conferences

The Protein Interaction Abstract Relevance Evaluation (PIARE) service, was created to implement the binary classifier we produced for the Protein-Protein Interaction Article Classification Task in Biocreative II and Biocreative II.5. Supplementary materials for our Biocreative III paper are available as a zip file with instructions.

Literature Mining

Biomedical Literature Mining

Relevant Publications:

A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha [2008]. “Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks“. Genome Biology. 9(Suppl 2):S11

A. Kolchinsky, A. Abi-Haidar, J. Kaur, A.A. Hamed and L.M. Rocha [2010]. “Classification of protein-protein interaction full-text documents using text and citation network features.IEEE/ACM Transactions On Computational Biology And Bioinformatics, 7(3):400-411. DOI: doi.ieeecomputersociety.org/10.1109/TCBB.2010.55

A. Lourenço, M. Conover, A. Wong, A. Nematzadeh, F. Pan, H. Shatkay, and L.M. Rocha [2011].”A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature“. BMC Bioinformatics. 12(Suppl 8):S12. DOI: 10.1186/1471-2105-12-S8-S12.