| EPSRC Reference: |
GR/M25971/01 |
| Title: |
BAYESIAN METHODS FOR ENHANCED RECOVERY OF BIOCHEMICAL INFORMATION GENERATED USING NMR SPECTROSCOPY |
| Principal Investigator: |
Nicholson, Professor J |
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| Department: |
Dept of Medicine |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
30 September 1998 |
Ends: |
29 September 2000 |
Value (£): |
77,059
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| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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We plan to extend Bayesian probabilistic approaches by developing a mathematical basis for their application to the choice of NMR spectral descriptors of biofluids which relate to toxicity and then to use the approach to classify samples in probabilistic terms of toxicity. The work will require the development of algorithms which will allow the relationships between changes in NMR variables and the toxic class to be determined on a probabilistic basis using a training set of known effects. The algorithms will then be tested using a set of independent data from an existing large database of NMR spectra of rat urine from control animals and from animals in which know toxic lesions of different organs have been induced. We will also investigate the usefulness of the approach to a 2-deimensional NMR spectra and also to the original time domain NMR data. The deconvolution of regions of the NMR spectra significant for toxic classification will be evaluated using maximum entropy approaches using both model and real biofluids. Methods will be developed to allow separate analysis of broad and sharp NMR resonances such as occur in plasma where broad resonances arise from proteins/lipoproteins and sharp resonances from small molecules.
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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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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.imperial.ac.uk |