Using machine learning algorithms to analyse complex genetic data in sub- phenotypes of psychiatric disorders. (360G-Wellcome-099822_Z_12_Z)
The main objective for my PhD will be to apply machine learning methods and algorithms to complex genetic data in an attempt to identify features that characterise different sub phenotypes in psychiatric disorders. This will not only look for the contribution of individual genes, but also at possible biological gene-gene interactions and functional pathways. The use of non- parametric machine learning techniques will allow us to go beyond classical statistical (parametric) methods and search for more complex underlying patterns in the data.
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Grant Details
| Region | Wales |
| Award Date | 2012-03-19T00:00:00+00:00 |
| Sponsor(s) | Prof Vincenzo Crunelli |
| Internal ID | 099822/Z/12/Z |
| Planned Dates: End Date | 2016-09-30T00:00:00+00:00 |
| Planned Dates: Start Date | 2012-10-01T00:00:00+00:00 |
| Amount Awarded | 150112 |
| Financial Year | 2011/12 |
| Lead Applicant | Mr Timothy Vivian-Griffiths |
| Grant Programme: Title | PhD Studentship (Basic) |
| Applicant Surname | Vivian-Griffiths |
| Approval Committee | PhD Studentships |
| Recipient Org: Country | United Kingdom |
| Recipient Org: City | Cardiff |
| Has the grant transferred? | No |
| Research conducted at multiple locations? | No |
| Total amount including partnership funding | 150112 |