Paul D. W. Kirk

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 15

Top Topics

Consensus Clustering

Top Venues

PLoS Comput. Biol.

Publications

Leiv Rønneberg, Vidhi Lalchand, Paul D. W. Kirk
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer. CoRR (2024)
Paul D. W. Kirk, Jackie Rao
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data. CoRR (2024)
Leiv Rønneberg, Paul D. W. Kirk, Manuela Zucknick
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approach. BMC Bioinform. 24 (1) (2023)
Stephen Coleman, Paul D. W. Kirk, Chris Wallace
Consensus clustering for Bayesian mixture models. BMC Bioinform. 23 (1) (2022)
Elena Vigorito, Wei-Yu Lin, Colin Starr, Paul D. W. Kirk, Simon R. White, Chris Wallace
Detection of quantitative trait loci from RNA-seq data with or without genotypes using BaseQTL. Nat. Comput. Sci. 1 (6) (2021)
Christopher N. Foley, Amy M. Mason, Paul D. W. Kirk, Stephen Burgess
MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates. Bioinform. 37 (4) (2021)
Alessandra Cabassi, Paul D. W. Kirk
Multiple kernel learning for integrative consensus clustering of omic datasets. Bioinform. 36 (18) (2020)
Oliver M. Crook, Aikaterini Geladaki, Daniel J. H. Nightingale, Owen L. Vennard, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection. PLoS Comput. Biol. 16 (11) (2020)
Magdalena E. Strauß, Paul D. W. Kirk, John E. Reid, Lorenz Wernisch
GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution. Bioinform. 36 (5) (2020)
Alessandra Cabassi, Paul D. W. Kirk
Multiple kernel learning for integrative consensus clustering of genomic datasets. CoRR (2019)
Oliver M. Crook, Lisa M. Breckels, Kathryn S. Lilley, Paul D. W. Kirk, Laurent Gatto
A Bioconductor workflow for the Bayesian analysis of spatial proteomics. F1000Research 8 (2019)
Oliver M. Crook, Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, Laurent Gatto
A Bayesian mixture modelling approach for spatial proteomics. PLoS Comput. Biol. 14 (11) (2018)
Oleg Lenive, Paul D. W. Kirk, Michael P. H. Stumpf
Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation. BMC Syst. Biol. 10 (2016)
Sisi Fan, Quentin Geissmann, Eszter Lakatos, Saulius Lukauskas, Angelique Ale, Ann C. Babtie, Paul D. W. Kirk, Michael P. H. Stumpf
MEANS: python package for Moment Expansion Approximation, iNference and Simulation. Bioinform. 32 (18) (2016)
Rob Johnson, Paul D. W. Kirk, Michael P. H. Stumpf
SYSBIONS: nested sampling for systems biology. Bioinform. 31 (4) (2015)
Justina Zurauskiene, Paul D. W. Kirk, Thomas Thorne, John Pinney, Michael P. H. Stumpf
Derivative processes for modelling metabolic fluxes. Bioinform. 30 (13) (2014)
Daniel Silk, Paul D. W. Kirk, Chris P. Barnes, Tina Toni, Michael P. H. Stumpf
Model Selection in Systems Biology Depends on Experimental Design. PLoS Comput. Biol. 10 (6) (2014)
Paul D. W. Kirk, Aviva Witkover, Charles R. M. Bangham, Sylvia Richardson, Alexandra M. Lewin, Michael P. H. Stumpf
Balancing the Robustness and Predictive Performance of Biomarkers. J. Comput. Biol. 20 (12) (2013)
Paul D. W. Kirk, Jim E. Griffin, Richard S. Savage, Zoubin Ghahramani, David L. Wild
Bayesian correlated clustering to integrate multiple datasets. Bioinform. 28 (24) (2012)
Emma J. Cooke, Richard S. Savage, Paul D. W. Kirk, Robert Darkins, David L. Wild
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements. BMC Bioinform. 12 (2011)
Juliane Liepe, Chris P. Barnes, Erika Cule, Kamil Erguler, Paul D. W. Kirk, Tina Toni, Michael P. H. Stumpf
ABC-SysBio - approximate Bayesian computation in Python with GPU support. Bioinform. 26 (14) (2010)
Paul D. W. Kirk, Michael P. H. Stumpf
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data. Bioinform. 25 (10) (2009)