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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.

£70,000

27 Jan 2011

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
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
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