| EPSRC Reference: |
GR/R96255/01 |
| Title: |
Machine Learning Techniques for Functional Interpretation of Gene Expression Data from cDNA Microarrays (Overseas Travel Grant application) |
| Principal Investigator: |
Campbell, Dr C |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Engineering Mathematics and Technology |
| Organisation: |
University of Bristol |
| Scheme: |
Overseas Travel Grants Pre-FEC |
| Starts: |
19 November 2002 |
Ends: |
18 November 2005 |
Value (£): |
12,393
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Bioinformatics |
| Genomics |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Panel History: |
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Summary on Grant Application Form |
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The recent development of microarray technology is rapidly accelerating progress in many areas of biomedical research. For the first time this technology gives a global view of the expression levels of thousands of genes. Already this approach has lead to significant discoveries such as subclusters in gene expression datasets for certain cancers, pointing to a new genetic taxonomy for these diseases. Data analysis frequently utilizes machine learning techniques including cluster analysis, classification and feature selection, outlier detection and regression, for example. The grant would be used to strengthen a pre-existing collaborative links with MIT, who currently have a major interest in generation of microarray datasets and the development of algorithmic and theoretical techniques for analysis of such datasets. Currently the Principal Investigator is working with a number of UKbased experimental groups generating microarray datasets (mainly for cancer). However, it is also very important to also innovate analytical techniques to make a maximum gain from these datasets.
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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 |