A Protein Annotation Framework Empowered with Semantic Reasoning

نویسندگان

  • Jemma X. Wu
  • Edmond Breen
  • Xiaomin Song
  • Brett Cooke
  • Mark P. Molloy
چکیده

This paper presents an association discovery framework for proteins based on semantic annotations from biomedical literatures. An automatic ontology-based annotation method is used to create a semantic protein annotation knowledge base. A semantic reasoning service enables realisation reasoning on original annotations to infer more accurate associations. A case study on protein-disease association discovery on a real-world colorectal cancer dataset is presented.

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تاریخ انتشار 2013