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Bioinformatics (Oxford, England)
|
June 28, 2020
Multiple kernel learning for integrative consensus clustering of omic datasets
Alessandra Cabassi, Paul D W Kirk
Bioinformatics Advances
|
April 10, 2025
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
Jackie Rao, Paul D W Kirk
BMC Bioinformatics
|
April 21, 2023
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approach
Leiv Rønneberg, Paul D W Kirk, Manuela Zucknick
Plos Computational Biology
|
September 3, 2024
Bayesian clustering with uncertain data
Kath Nicholls, Paul D W Kirk, Chris Wallace
BMC Bioinformatics
|
July 21, 2022
Consensus clustering for Bayesian mixture models
Stephen 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 data
Paul D W Kirk, Michael P H Stumpf
Bioinformatics (Oxford, England)
|
February 22, 2022
Topological approximate Bayesian computation for parameter inference of an angiogenesis model
Thomas 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 proteomics
Oliver M Crook, Laurent Gatto, Paul D W Kirk
BMC Systems Biology
|
August 24, 2016
Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation
Oleg Lenive, Paul D W Kirk, Michael P H Stumpf
Statistical Applications in Genetics and Molecular Biology
|
March 19, 2016
A graph theoretical approach to data fusion
Justina Žurauskienė, Paul D W Kirk, Michael P H Stumpf
Page
of 5
Search research articles
Search
Showing results (1-10 of 44) with videos related to
Sort By:
Page
of 5
Bioinformatics (Oxford, England)
|
June 28, 2020
Multiple kernel learning for integrative consensus clustering of omic datasets
Alessandra Cabassi, Paul D W Kirk
Bioinformatics Advances
|
April 10, 2025
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
Jackie Rao, Paul D W Kirk
BMC Bioinformatics
|
April 21, 2023
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approach
Leiv Rønneberg, Paul D W Kirk, Manuela Zucknick
Plos Computational Biology
|
September 3, 2024
Bayesian clustering with uncertain data
Kath Nicholls, Paul D W Kirk, Chris Wallace
BMC Bioinformatics
|
July 21, 2022
Consensus clustering for Bayesian mixture models
Stephen 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 data
Paul D W Kirk, Michael P H Stumpf
Bioinformatics (Oxford, England)
|
February 22, 2022
Topological approximate Bayesian computation for parameter inference of an angiogenesis model
Thomas 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 proteomics
Oliver M Crook, Laurent Gatto, Paul D W Kirk
BMC Systems Biology
|
August 24, 2016
Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation
Oleg Lenive, Paul D W Kirk, Michael P H Stumpf
Statistical Applications in Genetics and Molecular Biology
|
March 19, 2016
A graph theoretical approach to data fusion
Justina Žurauskienė, Paul D W Kirk, Michael P H Stumpf
Page
of 5