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03/01/2023
Bayesian outcome-guided multi-view mixture models with applications in molecular precision medicine
Clustering is commonly performed as an initial analysis step for uncover...
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07/29/2022
Bayesian nonparametric mixture inconsistency for the number of components: How worried should we be in practice?
We consider the Bayesian mixture of finite mixtures (MFMs) and Dirichlet...
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11/08/2021
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables
The identification of sets of co-regulated genes that share a common fun...
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08/26/2021
Topological Approximate Bayesian Computation for Parameter Inference of an Angiogenesis Model
Inferring the parameters of models describing biological systems is an i...
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04/05/2021
Tailored Bayes: a risk modelling framework under unequal misclassification costs
Risk prediction models are a crucial tool in healthcare. Risk prediction...
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09/27/2020
Kernel learning approaches for summarising and combining posterior similarity matrices
When using Markov chain Monte Carlo (MCMC) algorithms to perform inferen...
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08/01/2020
Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome
Building classification models that predict a binary class label on the ...
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04/15/2019
Multiple kernel learning for integrative consensus clustering of genomic datasets
Diverse applications - particularly in tumour subtyping - have demonstra...
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03/07/2019
Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics
Understanding sub-cellular protein localisation is an essential componen...
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10/12/2018