Detecting experimental methods for physical interactions in biomedical texts

Detecting experimental methods for physical interactions in biomedical texts

Our aim is developing a text mining system consisting of BioC-compatible modules integrated together to assist biocurators.We contributed to the system by developing a module for identifying the passages that describe experimental methods for physical PPIs. Our approach is based on tf-rf and word2vec techniques.

Project Poster: 

Project Members: 

Zehra Melce Hüsünbeyi

Project Advisor: 

Arzucan Özgür

Project Status: 

Project Year: 

2015

Project Semester: 

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461
 

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