This article is part of the supplement: The Third BioCreative Critical Assessment of Information Extraction in Biology Challenge
Research
Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions
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* Corresponding author: Shashank Agarwal agarwal@uwm.edu
1 Medical Informatics, College of Engineering and Applied Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
2 Department of Health Sciences, College of Health Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
3 Department of Computer Science and Electrical Engineering, College of Engineering and Applied Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
BMC Bioinformatics 2011, 12(Suppl 8):S10 doi:10.1186/1471-2105-12-S8-S10
Published: 3 October 2011Additional files
Additional file 1:
ACT Tuning data Results of various classifier algorithms, feature selection algorithms and number of features combinations when trained on ACT development data and tested on ACT training data
Format: DOCX Size: 20KB Download file
Additional file 2:
IMT Tuning data Results of various classifier algorithms, feature selection algorithms and number of features combinations when trained on ACT development data and tested on ACT training data
Format: DOCX Size: 21KB Download file