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Neil D Lawrence

Showing results (11-20 of 30) with videos related to

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Bioinformatics (Oxford, England)|July 16, 2005
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chipsXuejun Liu, Marta Milo, Neil D Lawrence, et al.
Cognitive Science|January 10, 2018
The Emergence of Organizing Structure in Conceptual RepresentationBrenden M Lake, Neil D Lawrence, Joshua B Tenenbaum
Bioinformatics (Oxford, England)|July 6, 2006
Probe-level measurement error improves accuracy in detecting differential gene expressionXuejun Liu, Marta Milo, Neil D Lawrence, et al.
Bioinformatics (Oxford, England)|September 30, 2017
Efficient inference for sparse latent variable models of transcriptional regulationZhenwen Dai, Mudassar Iqbal, Neil D Lawrence, et al.
Bioinformatics (Oxford, England)|August 12, 2008
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activitiesPei Gao, Antti Honkela, Magnus Rattray, et al.
Nature Communications|September 20, 2014
Warped linear mixed models for the genetic analysis of transformed phenotypesNicolo Fusi, Christoph Lippert, Neil D Lawrence, et al.
BMC Systems Biology|June 1, 2012
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparisonMichalis K Titsias, Antti Honkela, Neil D Lawrence, et al.
Bioinformatics (Oxford, England)|March 3, 2004
Reducing the variability in cDNA microarray image processing by Bayesian inferenceNeil D Lawrence, Marta Milo, Mahesan Niranjan, et al.
Bioinformatics (Oxford, England)|April 6, 2013
Detecting regulatory gene-environment interactions with unmeasured environmental factorsNicoló Fusi, Christoph Lippert, Karsten Borgwardt, et al.
Bioinformatics (Oxford, England)|February 9, 2011
tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductorAntti Honkela, Pei Gao, Jonatan Ropponen, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|July 16, 2005
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chipsXuejun Liu, Marta Milo, Neil D Lawrence, et al.
Cognitive Science|January 10, 2018
The Emergence of Organizing Structure in Conceptual RepresentationBrenden M Lake, Neil D Lawrence, Joshua B Tenenbaum
Bioinformatics (Oxford, England)|July 6, 2006
Probe-level measurement error improves accuracy in detecting differential gene expressionXuejun Liu, Marta Milo, Neil D Lawrence, et al.
Bioinformatics (Oxford, England)|September 30, 2017
Efficient inference for sparse latent variable models of transcriptional regulationZhenwen Dai, Mudassar Iqbal, Neil D Lawrence, et al.
Bioinformatics (Oxford, England)|August 12, 2008
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activitiesPei Gao, Antti Honkela, Magnus Rattray, et al.
Nature Communications|September 20, 2014
Warped linear mixed models for the genetic analysis of transformed phenotypesNicolo Fusi, Christoph Lippert, Neil D Lawrence, et al.
BMC Systems Biology|June 1, 2012
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparisonMichalis K Titsias, Antti Honkela, Neil D Lawrence, et al.
Bioinformatics (Oxford, England)|March 3, 2004
Reducing the variability in cDNA microarray image processing by Bayesian inferenceNeil D Lawrence, Marta Milo, Mahesan Niranjan, et al.
Bioinformatics (Oxford, England)|April 6, 2013
Detecting regulatory gene-environment interactions with unmeasured environmental factorsNicoló Fusi, Christoph Lippert, Karsten Borgwardt, et al.
Bioinformatics (Oxford, England)|February 9, 2011
tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductorAntti Honkela, Pei Gao, Jonatan Ropponen, et al.
Pageof 3