M
Michael P. H. Stumpf
Researcher at University of Melbourne
Publications - 275
Citations - 15492
Michael P. H. Stumpf is an academic researcher from University of Melbourne. The author has contributed to research in topics: Population & Systems biology. The author has an hindex of 57, co-authored 264 publications receiving 13610 citations. Previous affiliations of Michael P. H. Stumpf include Imperial College London & University of Oxford.
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Journal ArticleDOI
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
TL;DR: This paper discusses and applies an ABC method based on sequential Monte Carlo (SMC) to estimate parameters of dynamical models and develops ABC SMC as a tool for model selection; given a range of different mathematical descriptions, it is able to choose the best model using the standard Bayesian model selection apparatus.
Journal ArticleDOI
Evolution of pathogenicity and sexual reproduction in eight Candida genomes.
Geraldine Butler,Matthew D. Rasmussen,Michael F. Lin,Michael F. Lin,Manuel A. S. Santos,Sharadha Sakthikumar,Carol A. Munro,Esther Rheinbay,Esther Rheinbay,Manfred Grabherr,Anja Forche,Jennifer L. Reedy,Ino Agrafioti,Martha B. Arnaud,Steven Bates,Alistair J. P. Brown,Sascha Brunke,Maria C. Costanzo,David A. Fitzpatrick,Piet W. J. de Groot,David Harris,Lois L. Hoyer,Bernhard Hube,Frans M. Klis,Chinnappa D. Kodira,Nicola Lennard,Mary E. Logue,Ronny Martin,Aaron M. Neiman,Elissavet Nikolaou,Michael A. Quail,Janet Quinn,Maria C. Santos,Florian F. Schmitzberger,Gavin Sherlock,Prachi Shah,Kevin A. T. Silverstein,Marek S. Skrzypek,David R. Soll,Rodney Staggs,Ian Stansfield,Michael P. H. Stumpf,Peter E. Sudbery,Thyagarajan Srikantha,Qiandong Zeng,Judith Berman,Matthew Berriman,Joseph Heitman,Neil A. R. Gow,Michael C. Lorenz,Bruce W. Birren,Manolis Kellis,Manolis Kellis,Christina A. Cuomo +53 more
TL;DR: There are significant expansions of cell wall, secreted and transporter gene families in pathogenic species, suggesting adaptations associated with virulence in Candida albicans species.
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Estimating the size of the human interactome
Michael P. H. Stumpf,Thomas Thorne,Eric de Silva,Ron Stewart,Hyeong Jun An,Michael Lappe,Carsten Wiuf +6 more
TL;DR: It is found that the human interaction network is one order of magnitude bigger than the Drosophila melanogaster interactome and ≈3 times bigger than in Caenorhabditis elegans.
Journal ArticleDOI
Critical Truths About Power Laws
TL;DR: Although power laws have been reported in areas ranging from finance and molecular biology to geophysics and the Internet, the data are typically insufficient and the mechanistic insights are almost always too limited for the identification of power-law behavior to be scientifically useful.
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Subnets of scale-free networks are not scale-free: sampling properties of networks.
TL;DR: The sampling properties of a network's degree distribution under the most parsimonious sampling scheme is discussed and it is shown that this condition is indeed satisfied for some important classes of networks, notably classical random graphs and exponential random graphs.