| EPSRC Reference: |
EP/K008250/1 |
| Title: |
An Active Learning Approach to Network Inference |
| Principal Investigator: |
Campbell, Dr I |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Engineering Mathematics |
| Organisation: |
University of Bristol |
| Scheme: |
Standard Research |
| Starts: |
01 July 2013 |
Ends: |
31 October 2016 |
Value (£): |
268,375
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Bioinformatics |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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09 Oct 2012
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EPSRC ICT Responsive Mode - Oct 2012
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Announced
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Summary on Grant Application Form |
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The understanding of pathway structures is crucial to our understanding of the functional organisation of genes and proteins. Abnormally functioning pathways underlie many human diseases. Given the extent of noise in biological datasets, and limited amounts of data available, unsupervised determination of network topology is a substantially under-determined inference problem. Consequently, in this project, we focus on network completion, which is a supervised learning task involving multiple types of data. Starting from a set of known links and non-links we construct a classifier which predicts and ranks further possible functionmal links for experimental validation. There will be a parallel experimental programme following an active learning approach to network inference, that is, predictions of functional links will be investigated which will, in turn, be used to improve the predictor. To provide a focus for the accompanying laboratory work, by the medical researchers associated with the project, our principal aim will be the discovery and validation of pathway structures associated with hypertension. Hypertension is the most common cause of preventable disease in the developed world.
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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 |