Blar i Department of Mathematics på forfatter "Greenbury, Sam"
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HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways
Greenbury, Sam; Barahona, Mauricio; Johnston, Iain (Peer reviewed; Journal article, 2020)The explosion of data throughout the biomedical sciences provides unprecedented opportunities to learn about the dynamics of evolution and disease progression, but harnessing these large and diverse datasets remains ... -
Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data
Johnston, Iain George; Hoffmann, Till; Greenbury, Sam; Cominetti, Ornella; Jallow, Muminatou; Kwiatkowski, Dominic; Barahona, Mauricio; Jones, Nick; Casals-Pascual, Climent (Peer reviewed; Journal article, 2019)More than 400,000 deaths from severe malaria (SM) are reported every year, mainly in African children. The diversity of clinical presentations associated with SM indicates important differences in disease pathogenesis that ... -
Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution
Johnston, Iain; Dingle, Kamaludin; Greenbury, Sam; Camargo, Chico Q.; Doye, Jonathan P K; Ahnert, Sebastian E.; Louis, Ard A. (Journal article; Peer reviewed, 2022)Engineers routinely design systems to be modular and symmetric in order to increase robustness to perturbations and to facilitate alterations at a later date. Biological structures also frequently exhibit modularity and ... -
Understanding learner behaviour in online courses with Bayesian modelling and time series characterisation
Johnston, Iain George; Greenbury, Sam; Peach, Robert; yaliraki, sophia; Lefèvre, David; Barahona, Mauricio (Journal article; Peer reviewed, 2021)The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and show how data-driven analysis of temporal ...