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Pathway based factor analysis of gene expression data produces highly heritable phenotypes that associate with age
Andrew Brown, Zhihao Ding, Ana Viñuela, Dan Glass, Leopold Parts, Tim Spector, John Winn, Richard Durbin
doi: https://doi.org/10.1101/016154
Andrew Brown
*Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
†NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
Zhihao Ding
*Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
Ana Viñuela
§Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Campus, Westminster Bridge Road, London SE1 7EH, UK
Dan Glass
§Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Campus, Westminster Bridge Road, London SE1 7EH, UK
Leopold Parts
**Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S 3E1, Canada
Tim Spector
§Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Campus, Westminster Bridge Road, London SE1 7EH, UK
John Winn
††Microsoft Research Cambridge, 21 Station Road, Cambridge CB1 2FB, UK
Richard Durbin
*Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
Article usage
Posted March 06, 2015.
Pathway based factor analysis of gene expression data produces highly heritable phenotypes that associate with age
Andrew Brown, Zhihao Ding, Ana Viñuela, Dan Glass, Leopold Parts, Tim Spector, John Winn, Richard Durbin
bioRxiv 016154; doi: https://doi.org/10.1101/016154
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