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Paul D. W. Kirk
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Journal Articles
- 2024
- [j19]Kath Nicholls, Paul D. W. Kirk, Chris Wallace
:
Bayesian clustering with uncertain data. PLoS Comput. Biol. 20(9): 1012301 (2024) - 2023
- [j18]Leiv Rønneberg, Paul D. W. Kirk, Manuela Zucknick:
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approach. BMC Bioinform. 24(1): 161 (2023) - 2022
- [j17]Stephen Coleman, Paul D. W. Kirk, Chris Wallace:
Consensus clustering for Bayesian mixture models. BMC Bioinform. 23(1): 290 (2022) - 2021
- [j16]Christopher N. Foley
MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates. Bioinform. 37(4): 531-541 (2021) - [j15]Elena Vigorito
Detection of quantitative trait loci from RNA-seq data with or without genotypes using BaseQTL. Nat. Comput. Sci. 1(6): 421-432 (2021) - 2020
- [j14]Magdalena E. Strauß
GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution. Bioinform. 36(5): 1484-1491 (2020) - [j13]Alessandra Cabassi
Multiple kernel learning for integrative consensus clustering of omic datasets. Bioinform. 36(18): 4789-4796 (2020) - [j12]Oliver M. Crook
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection. PLoS Comput. Biol. 16(11): 1008288 (2020) - 2018
- [j11]Oliver M. Crook
A Bayesian mixture modelling approach for spatial proteomics. PLoS Comput. Biol. 14(11) (2018) - 2016
- [j10]Sisi Fan, Quentin Geissmann
MEANS: python package for Moment Expansion Approximation, iNference and Simulation. Bioinform. 32(18): 2863-2865 (2016) - [j9]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: 81 (2016) - 2015
- [j8]Rob Johnson, Paul D. W. Kirk, Michael P. H. Stumpf:
SYSBIONS: nested sampling for systems biology. Bioinform. 31(4): 604-605 (2015) - 2014
- [j7]Justina Zurauskiene
Derivative processes for modelling metabolic fluxes. Bioinform. 30(13): 1892-1898 (2014) - [j6]Daniel Silk, Paul D. W. Kirk, Chris P. Barnes
Model Selection in Systems Biology Depends on Experimental Design. PLoS Comput. Biol. 10(6) (2014) - 2013
- [j5]Paul D. W. Kirk, Aviva Witkover, Charles R. M. Bangham
Balancing the Robustness and Predictive Performance of Biomarkers. J. Comput. Biol. 20(12): 979-989 (2013) - 2012
- [j4]Paul D. W. Kirk, Jim E. Griffin
Bayesian correlated clustering to integrate multiple datasets. Bioinform. 28(24): 3290-3297 (2012) - 2011
- [j3]Emma J. Cooke, Richard S. Savage
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements. BMC Bioinform. 12: 399 (2011) - 2010
- [j2]Juliane Liepe
ABC-SysBio - approximate Bayesian computation in Python with GPU support. Bioinform. 26(14): 1797-1799 (2010) - 2009
- [j1]Paul D. W. Kirk, Michael P. H. Stumpf:
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data. Bioinform. 25(10): 1300-1306 (2009)
Informal and Other Publications
- 2024
- [i4]Paul D. W. Kirk, Jackie Rao:
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data. CoRR abs/2406.16227 (2024) - [i3]Leiv Rønneberg, Vidhi Lalchand, Paul D. W. Kirk:
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer. CoRR abs/2407.00175 (2024) - 2019
- [i2]Alessandra Cabassi, Paul D. W. Kirk:
Multiple kernel learning for integrative consensus clustering of genomic datasets. CoRR abs/1904.07701 (2019) - [i1]Oliver M. Crook, Lisa M. Breckels
A Bioconductor workflow for the Bayesian analysis of spatial proteomics. F1000Research 8: 446 (2019)
Coauthor Index
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