Development of novel meta-machine learning algorithms for the integration of genomic and neuroimaging data for genetic pathway discovery: application to Parkinson's disease and schizophrenia. (360G-Wellcome-095466_Z_11_Z)
My proposed study is focused on computational approaches to identify genetic risk factors via the fusion of genomic and neuroimaging data on Parkinson's Disease and schizophrenia in order to discover pathways of genetic changes that are associated with increased risk for these diseases and that act directly on neuroimaging intermediate phenotypes associated with each disease. In order to do so, I will develop a novel meta-machine learning algorithm for the integration of these two disparate sources of data to increase the ability to detect pathways impacting on disease and imaging phenotypes.
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Grant Details
| Region | South East |
| Award Date | 2011-01-27T00:00:00+00:00 |
| Sponsor(s) | Prof Kristin Nicodemus, Prof Christopher Ponting |
| Internal ID | 095466/Z/11/Z |
| Planned Dates: End Date | 2015-09-30T00:00:00+00:00 |
| Planned Dates: Start Date | 2011-10-01T00:00:00+00:00 |
| Amount Awarded | 70000 |
| Financial Year | 2010/11 |
| Lead Applicant | Dr Claudia Constanze Wehrspaun |
| Grant Programme: Title | WT/NIH Four Year PhD Studentship |
| Partnership Name | Wellcome Trust-NIH PhD Studentships |
| Applicant Surname | Wehrspaun |
| Approval Committee | WT/NIH Four Year PhD Programme Interview Committee |
| Recipient Org: Country | United Kingdom |
| Recipient Org: City | Oxford |
| Has the grant transferred? | No |
| Research conducted at multiple locations? | No |
| Total amount including partnership funding | 70000 |