| EPSRC Reference: |
GR/N13869/01 |
| Title: |
KERNAL METHODS FOR BIOSEQUENCE ANALYSIS |
| Principal Investigator: |
Campbell, Dr C |
| Other Investigators: |
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| Department: |
Engineering Mathematics and Technology |
| Organisation: |
University of Bristol |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 April 2001 |
Ends: |
31 March 2004 |
Value (£): |
59,703
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| EPSRC Research Topic Classifications: |
| Information & Knowledge Mgmt |
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| EPSRC Industrial Sector Classifications: |
| Pharmaceuticals and Biotechnology |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The objective is to develop new kernel based methods for the recognition and classification of biosequences. Innovations include kernel methods which use query learning to sift biological datasets for the most informative examples, new kernels specific to the tasks which arise in biosequence classification, optimal windowing techniques (eg finds the best window on an amino acid sequence), methods for handling imbalanced datasets (which arise in the classification of micorarray gene expression data, for example).
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.bris.ac.uk |