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Protein functional classification using text data-mining
Reference
B17234
Principal Investigator / Supervisor
Professor John Keane
Co-Investigators /
Co-Supervisors
Institution
The University of Manchester
Department
Life Sciences
Funding type
Research
Value (£)
152,084
Status
Completed
Type
Research Grant
Start date
06/12/2002
End date
05/06/2006
Duration
42 months
Abstract
We will apply techniques from text-classification to the extraction and inference of protein function. Textual information on protein function will be assembled from a variety of sources and placed in a database. Using the vector model of information retrieval, we will use support vector machines and other methods to classify the proteins into functional categories - training on the MIPS classification, Gene Onotology, and Enzyme Registry. The aim is to generate a tool that allows a user to submit a body of text relevant to a protein and retrieve probable functional classes for that protein.
Summary
unavailable
Committee
Closed Committee - Biomolecular Sciences (BMS)
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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