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John Winn

Showing results (1-10 of 15) with videos related to

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Bioinformatics (Oxford, England)|July 25, 2007
Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populationsJim C Huang, Anitha Kannan, John Winn
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 17, 2009
Epitomic location recognitionKai Ni, Anitha Kannan, Antonio Criminisi, et al.
Plos Genetics|February 2, 2011
Joint genetic analysis of gene expression data with inferred cellular phenotypesLeopold Parts, Oliver Stegle, John Winn, et al.
Plos Computational Biology|May 14, 2010
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studiesOliver Stegle, Leopold Parts, Richard Durbin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 20, 2010
Bilayer segmentation of webcam videos using tree-based classifiersPei Yin, Antonio Criminisi, John Winn, et al.
Neural Computation|December 18, 2010
Learning a generative model of images by factoring appearance and shapeNicolas Le Roux, Nicolas Heess, Jamie Shotton, et al.
Nature Protocols|February 21, 2012
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analysesOliver Stegle, Leopold Parts, Matias Piipari, et al.
Occupational Health & Safety (Waco, Tex.)|May 21, 2003
Facing up to the ARC challengeHugh Hoagland, Bruce Sannar, Kent Givens, et al.
Respiratory Research|June 1, 2013
A probabilistic model of biological ageing of the lungs for analysing the effects of smoking, asthma and COPDSilvia Chiappa, John Winn, Ana Viñuela, et al.
Bioinformatics (Oxford, England)|February 16, 2012
ShapePheno: unsupervised extraction of shape phenotypes from biological image collectionsTheofanis Karaletsos, Oliver Stegle, Christine Dreyer, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|July 25, 2007
Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populationsJim C Huang, Anitha Kannan, John Winn
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 17, 2009
Epitomic location recognitionKai Ni, Anitha Kannan, Antonio Criminisi, et al.
Plos Genetics|February 2, 2011
Joint genetic analysis of gene expression data with inferred cellular phenotypesLeopold Parts, Oliver Stegle, John Winn, et al.
Plos Computational Biology|May 14, 2010
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studiesOliver Stegle, Leopold Parts, Richard Durbin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 20, 2010
Bilayer segmentation of webcam videos using tree-based classifiersPei Yin, Antonio Criminisi, John Winn, et al.
Neural Computation|December 18, 2010
Learning a generative model of images by factoring appearance and shapeNicolas Le Roux, Nicolas Heess, Jamie Shotton, et al.
Nature Protocols|February 21, 2012
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analysesOliver Stegle, Leopold Parts, Matias Piipari, et al.
Occupational Health & Safety (Waco, Tex.)|May 21, 2003
Facing up to the ARC challengeHugh Hoagland, Bruce Sannar, Kent Givens, et al.
Respiratory Research|June 1, 2013
A probabilistic model of biological ageing of the lungs for analysing the effects of smoking, asthma and COPDSilvia Chiappa, John Winn, Ana Viñuela, et al.
Bioinformatics (Oxford, England)|February 16, 2012
ShapePheno: unsupervised extraction of shape phenotypes from biological image collectionsTheofanis Karaletsos, Oliver Stegle, Christine Dreyer, et al.
Pageof 2