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
Amount Awarded | 70000 |
Applicant Surname | Wehrspaun |
Approval Committee | WT/NIH Four Year PhD Programme Interview Committee |
Award Date | 2011-01-27T00:00:00+00:00 |
Financial Year | 2010/11 |
Grant Programme: Title | WT/NIH Four Year PhD Studentship |
Internal ID | 095466/Z/11/Z |
Lead Applicant | Dr Claudia Wehrspaun |
Partnership Name | Wellcome Trust-NIH PhD Studentships |
Partnership Value | 70000 |
Planned Dates: End Date | 2015-09-30T00:00:00+00:00 |
Planned Dates: Start Date | 2011-10-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | South East |
Sponsor(s) | Prof Christopher Ponting, Prof Kristin Nicodemus |