activity
20242026
most citedIntegrated differential analysis of multi-omics data using a joint mixture model: idiffomix

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2026

Characterising mortality dynamics across countries and time using a multi-stage clustering approach

Pedro Menezes de Araújo, Ugofilippo Basellini, Thomas Brendan Murphy +1

Comparative analyses of mortality dynamics across countries have long shaped our understanding of mortality inequalities and patterns of divergence and convergence over time. Howev…

stat.AP2025

Clustering country-level all-cause mortality data: a review

Pedro Menezes de Araujo, Isobel Claire Gormley, Thomas Brendan Murphy

Mortality data are relevant to demography, public health, and actuarial science. Whilst clustering is increasingly used to explore patterns in such data, no study has reviewed its…

cs.CL2025

Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context

Marion Bartl, Thomas Brendan Murphy, Susan Leavy

Gender-inclusive language is often used with the aim of ensuring that all individuals, regardless of gender, can be associated with certain concepts. While psycholinguistic studies…

stat.ME2024★ 1 cited

Integrated differential analysis of multi-omics data using a joint mixture model: idiffomix

Koyel Majumdar, Florence Jaffrézic, Andrea Rau +2

Gene expression and DNA methylation are two interconnected biological processes and understanding their relationship is important in advancing understanding in diverse areas, inclu…

stat.ME2024★ 1 cited

Partial membership models for soft clustering of multivariate football player performance data

Emiliano Seri, Roberto Rocci, Thomas Brendan Murphy

The standard mixture modeling framework has been widely used to study heterogeneous populations, by modeling them as being composed of a finite number of homogeneous sub-population…