Abstract
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.
Original language | English |
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Pages (from-to) | 185-188 |
Number of pages | 4 |
Journal | CEUR Workshop Proceedings |
Volume | 1035 |
Publication status | Published - 2013 |
Keywords
- bioinformatics
- protein annotation
- semantic reasoning