Variable Trigonometric Threshold (VTT)¶
This package implements the Variable Trigonometric Threshold (VTT) linear classifier. The coding schema is such that it enables it to be used in the Scikit-Learn pipeline.
The mathematical description of the classifier can be seen in:
“A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha . “Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks”. Genome Biology. **9**(Suppl 2):S11”
Other papers which have used this method:
“Correia, Rion B., K. N. Chan, & L.M. Rocha . “Polarization in the US Congress.” The 8th Annual Conference of the Comparative Agendas Project (CAP). Lisbon, Portugal, June 23-24, 2015.”
“A. Lourenço, M. Conover, A. Wong, A. Nematzadeh, F. Pan, H. Shatkay, and L.M. Rocha .”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.”
“A. Kolchinsky, A. Abi-Haidar, J. Kaur, A.A. Hamed and L.M. Rocha . “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”