Multiple kernel learning for integrative consensus clustering of omic datasets

por Cabassi, Alessandra, Kirk, Paul D W
Publicado 2020

Dose–response prediction for in-vitro drug combination datasets: a probabilistic approach

por Rønneberg, Leiv, Kirk, Paul D. W., Zucknick, Manuela
Publicado 2023

Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data

por Kirk, Paul D. W., Stumpf, Michael P. H.
Publicado 2009

Consensus clustering for Bayesian mixture models

por Coleman, Stephen, Kirk, Paul D. W., Wallace, Chris
Publicado 2022

Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics

por Crook, Oliver M., Gatto, Laurent, Kirk, Paul D.W.
Publicado 2019

Topological approximate Bayesian computation for parameter inference of an angiogenesis model

por Thorne, Thomas, Kirk, Paul D W, Harrington, Heather A
Publicado 2022

Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity

por Grant, Andrew J., Gill, Dipender, Kirk, Paul D. W., Burgess, Stephen
Publicado 2022

Cellular population dynamics control the robustness of the stem cell niche

por MacLean, Adam L., Kirk, Paul D. W., Stumpf, Michael P. H.
Publicado 2015

GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution

por Strauss, Magdalena E, Kirk, Paul D W, Reid, John E, Wernisch, Lorenz
Publicado 2020

MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates

por Foley, Christopher N, Mason, Amy M, Kirk, Paul D W, Burgess, Stephen
Publicado 2020

A Bayesian semi-parametric model for thermal proteome profiling

por Fang, Siqi, Kirk, Paul D. W., Bantscheff, Marcus, Lilley, Kathryn S., Crook, Oliver M.
Publicado 2021

Tailored Bayes: a risk modeling framework under unequal misclassification costs

por Karapanagiotis, Solon, Benedetto, Umberto, Mukherjee, Sach, Kirk, Paul D W, Newcombe, Paul J
Publicado 2021

A Bayesian mixture modelling approach for spatial proteomics

por Crook, Oliver M., Mulvey, Claire M., Kirk, Paul D. W., Lilley, Kathryn S., Gatto, Laurent
Publicado 2018

A Bioconductor workflow for the Bayesian analysis of spatial proteomics

por Crook, Oliver M., Breckels, Lisa M., Lilley, Kathryn S., Kirk, Paul D.W., Gatto, Laurent
Publicado 2019

Model Selection in Systems Biology Depends on Experimental Design

por Silk, Daniel, Kirk, Paul D. W., Barnes, Chris P., Toni, Tina, Stumpf, Michael P. H.
Publicado 2014

Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm

por Darkins, Robert, Cooke, Emma J., Ghahramani, Zoubin, Kirk, Paul D. W., Wild, David L., Savage, Richard S.
Publicado 2013

A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection

por Crook, Oliver M., Geladaki, Aikaterini, Nightingale, Daniel J. H., Vennard, Owen L., Lilley, Kathryn S., Gatto, Laurent, Kirk, Paul D. W.
Publicado 2020

Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE

por Crook, Oliver M., Davies, Colin T. R., Breckels, Lisa M., Christopher, Josie A., Gatto, Laurent, Kirk, Paul D. W., Lilley, Kathryn S.
Publicado 2022

MEANS: python package for Moment Expansion Approximation, iNference and Simulation

por Fan, Sisi, Geissmann, Quentin, Lakatos, Eszter, Lukauskas, Saulius, Ale, Angelique, Babtie, Ann C., Kirk, Paul D. W., Stumpf, Michael P. H.
Publicado 2016

Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes

por Silk, Daniel, Kirk, Paul D.W., Barnes, Chris P., Toni, Tina, Rose, Anna, Moon, Simon, Dallman, Margaret J., Stumpf, Michael P.H.
Publicado 2011