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D W Kirk

Showing results (1-10 of 49) with videos related to

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Bioinformatics (Oxford, England)|June 28, 2020
Multiple kernel learning for integrative consensus clustering of omic datasetsAlessandra Cabassi, Paul D W Kirk
Bioinformatics Advances|April 10, 2025
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataJackie Rao, Paul D W Kirk
Journal of Hazardous Materials|May 25, 1999
Behaviour of metals under the conditions of roasting MSW incinerator fly ash with chlorinating agentsC C Chan, D W Kirk
Journal of Hazardous Materials|June 23, 2000
The behaviour of Al in MSW incinerator fly ash during thermal treatmentC C Chan, D W Kirk, H Marsh
BMC Bioinformatics|July 21, 2022
Consensus clustering for Bayesian mixture modelsStephen Coleman, Paul D W Kirk, Chris Wallace
Bioinformatics (Oxford, England)|March 18, 2009
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course dataPaul D W Kirk, Michael P H Stumpf
BMC Bioinformatics|April 21, 2023
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approachLeiv Rønneberg, Paul D W Kirk, Manuela Zucknick
Plos Computational Biology|September 3, 2024
Bayesian clustering with uncertain dataKath Nicholls, Paul D W Kirk, Chris Wallace
Bioinformatics (Oxford, England)|February 22, 2022
Topological approximate Bayesian computation for parameter inference of an angiogenesis modelThomas Thorne, Paul D W Kirk, Heather A Harrington
Statistical Applications in Genetics and Molecular Biology|December 13, 2019
Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomicsOliver M Crook, Laurent Gatto, Paul D W Kirk
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Bioinformatics (Oxford, England)|June 28, 2020
Multiple kernel learning for integrative consensus clustering of omic datasetsAlessandra Cabassi, Paul D W Kirk
Bioinformatics Advances|April 10, 2025
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataJackie Rao, Paul D W Kirk
Journal of Hazardous Materials|May 25, 1999
Behaviour of metals under the conditions of roasting MSW incinerator fly ash with chlorinating agentsC C Chan, D W Kirk
Journal of Hazardous Materials|June 23, 2000
The behaviour of Al in MSW incinerator fly ash during thermal treatmentC C Chan, D W Kirk, H Marsh
BMC Bioinformatics|July 21, 2022
Consensus clustering for Bayesian mixture modelsStephen Coleman, Paul D W Kirk, Chris Wallace
Bioinformatics (Oxford, England)|March 18, 2009
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course dataPaul D W Kirk, Michael P H Stumpf
BMC Bioinformatics|April 21, 2023
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approachLeiv Rønneberg, Paul D W Kirk, Manuela Zucknick
Plos Computational Biology|September 3, 2024
Bayesian clustering with uncertain dataKath Nicholls, Paul D W Kirk, Chris Wallace
Bioinformatics (Oxford, England)|February 22, 2022
Topological approximate Bayesian computation for parameter inference of an angiogenesis modelThomas Thorne, Paul D W Kirk, Heather A Harrington
Statistical Applications in Genetics and Molecular Biology|December 13, 2019
Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomicsOliver M Crook, Laurent Gatto, Paul D W Kirk
Pageof 5