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BMC Systems Biology|August 24, 2016
Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computationOleg Lenive, Paul D W Kirk, Michael P H StumpfBioinformatics (Oxford, England)|September 19, 2023
BondGraphs.jl: composable energy-based modelling in systems biologyJoshua Forrest, Vijay Rajagopal, Michael P H Stumpf, et al.NPJ Systems Biology and Applications|June 21, 2026
Molecular noise modulates transitions in the cell-fate differentiation landscapeYujing Liu, Adriana Zanca, Michael P H Stumpf, et al.Statistical Applications in Genetics and Molecular Biology|March 19, 2016
A graph theoretical approach to data fusionJustina Žurauskienė, Paul D W Kirk, Michael P H StumpfMethods in Molecular Biology (Clifton, N.J.)|May 8, 2019
Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate DecisionsThalia E Chan, Michael P H Stumpf, Ann C BabtiePlos Computational Biology|February 6, 2013
Maximizing the information content of experiments in systems biologyJuliane Liepe, Sarah Filippi, Michał Komorowski, et al.Journal of the Royal Society, Interface|January 26, 2013
Population dynamics of normal and leukaemia stem cells in the haematopoietic stem cell niche show distinct regimes where leukaemia will be controlledAdam L MacLean, Cristina Lo Celso, Michael P H StumpfMethods in Molecular Biology (Clifton, N.J.)|December 7, 2011
The degree distribution of networks: statistical model selectionWilliam P Kelly, Piers J Ingram, Michael P H StumpfProceedings of the National Academy of Sciences of the United States of America|May 10, 2006
A likelihood approach to analysis of network dataCarsten Wiuf, Markus Brameier, Oskar Hagberg, et al.Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|August 13, 2005
Recombination hotspots as a point processMaria De Iorio, Eric de Silva, Michael P H StumpfPageof 181