Fregene: Simulation of realistic sequence-level data in populations and ascertained samples. - Marc Chadeau-Hyam; Clive J. Hoggart; Paul F. O'Reilly; John C. Whittaker; Maria De Iorio; David J. Balding (BMC Bioinform., 2008)

ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration. - Leonardo Bottolo; Marc Chadeau-Hyam; David I. Hastie; Sarah R. Langley; Enrico Petretto; Laurence Tiret; David Tregouet; Sylvia Richardson (Bioinform., 2011)

Automated calibration of consensus weighted distance-based clustering approaches using sharp. - Barbara Bodinier; Dragana Vuckovic; Sabrina Rodrigues; Sarah Filippi; Julien Chiquet; Marc Chadeau-Hyam (Bioinform., 2023)

Machine and deep learning for longitudinal biomedical data: a review of methods and applications. - Anna Cascarano; Jordi Mur-Petit; Jerónimo Hernández-González; Marina Camacho; Nina de Toro Eadie; Polyxeni Gkontra; Marc Chadeau-Hyam; Jordi Vitrià; Karim Lekadir (Artif. Intell. Rev., 2023)

Cardiometabolic risk estimation using exposome data and machine learning. - Angélica Atehortúa; Polyxeni Gkontra; Marina Camacho; Oliver Díaz; Maria Bulgheroni; Valentina Simonetti; Marc Chadeau-Hyam; Janine F. Felix; Sylvain Sebert; Karim Lekadir (Int. J. Medical Informatics, 2023)

Stability Selection and Consensus Clustering in R: The R Package sharp. - Barbara Bodinier; Sabrina Rodrigues; Maryam Karimi; Sarah Filippi; Julien Chiquet; Marc Chadeau-Hyam (J. Stat. Softw., 2025)

An AI-driven framework for the prediction of personalised health response to air pollution. - Nazanin Zounemat Kermani; Sadjad Naderi; Claire H. Dilliway; Claire E. Heaney; Shrreya Behll; Boyang Chen 002; Hisham Abubakar-Waziri; Alexandra E. Porter; Marc Chadeau-Hyam; Fangxin Fang; Ian M. Adcock; Kian Fan Chung; et al. (CoRR, 2025)