38 citations · 59 across the 4 of their papers we have counts for
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stat.ME2020★ 2 cited
Kernel learning approaches for summarising and combining posterior similarity matrices
Alessandra Cabassi, Sylvia Richardson, Paul D. W. Kirk
When using Markov chain Monte Carlo (MCMC) algorithms to perform inference for Bayesian clustering models, such as mixture models, the output is typically a sample of clusterings (…
stat.ME2020★ 2 cited
Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome
Alessandra Cabassi, Denis Seyres, Mattia Frontini +1
Building classification models that predict a binary class label on the basis of high dimensional multi-omics datasets poses several challenges, due to the typically widely differi…