Cambridge Bioinformatics
Our mission is to apply cutting edge machine learning methods to key problems in bioinformatics.
Current projects
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Integrating Functional Genomics data with Genetics to Help Understand Human Disease Common diseases such as cardiovascular disease, cancer, obesity, diabetes and psychiatric illnesses are caused by a combination of multiple genetic and environmental factors. We are collaborating with researchers at the Wellcome Trust Sanger Institute to perform genome-level analysis that integrates genetic and functional genomic data to study effects of multiple genes jointly. More...
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Scientific Publications |
Collaborators
- Richard Durbin
Head of the Informatics Division at the Sanger Centre - Tim Spector
Director of the Department of Twin Research, King's College London - Oliver Stegle
Max Planck institute in Tübingen - Leopold Parts
Wellcome Trust, Sanger Centre - David Knowles
University of Cambridge
Previous members
- Hetunandan Kamichetty
Carnegie Mellon - Jim Huang
University of Toronto
Machine Learning and Perception
> Machine Learning at MSR Cambridge
> Cambridge Bioinformatics
Latest Publications
- Silvia Chiappa, John Winn, Ana Viñuela, Hannah Tipney, and Timothy D. Spector, A probabilistic model of biological ageing of the lungs for analysing the effects of smoking, asthma and COPD, in Respiratory Research, vol. 14:60, 30 May 2013
- Oliver Stegle, Leopold Parts, Matias Piipari, John Winn, and Richard Durbin, Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses, in Nature Protocols, vol. 7, pp. 500-507, Nature Publishing Group, February 2012