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Patrick James, Ben Anderson (Investigators)
One of only 20 to be funded under the ESRC’s new ‘Transformative Social Science’ programme, this project will explore the feasibility of estimating small area (neighbourhood) census-like statistics from transactional ‘big data’ including large scale fine grained temporal energy monitoring data held by the Energy & Climate Change Division (FEE).
This iPhD project uses a Gaussian Bayesian Networks framework through Machine learning methods to predict which genes are involved in the development of different diseases.
Andrew Collins (Investigator), Alejandra Vergara Lope
This iPhD project uses a Gaussian Bayesian Networks approaches framework through machine learning approach to predict which genes are involved in the development of different diseases.
Professor, Medicine (FM)
Senior Lecturer, Civil Engineering & the Environment (FEE)
Senior Research Fellow, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Mathematics (FSHS)
Postgraduate Research Student, Engineering Sciences (FEE)