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2020 – today
- 2023
[j5]Anna Cascarano
, Jordi Mur-Petit, Jerónimo Hernández-González, Marina Camacho, Nina de Toro Eadie, Polyxeni Gkontra, Marc Chadeau-Hyam, Jordi Vitrià, Karim Lekadir:
Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artif. Intell. Rev. 56(S2): 1711-1771 (2023)- [j4]Barbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues, Sarah Filippi, Julien Chiquet, Marc Chadeau-Hyam:
Automated calibration of consensus weighted distance-based clustering approaches using sharp. Bioinform. 39(10) (2023) - [j3]Angélica Atehortúa, Polyxeni Gkontra, Marina Camacho, Oliver Díaz, Maria Bulgheroni, Valentina Simonetti, Marc Chadeau-Hyam, Janine F. Felix, Sylvain Sebert, Karim Lekadir:
Cardiometabolic risk estimation using exposome data and machine learning. Int. J. Medical Informatics 179: 105209 (2023)
2010 – 2019
- 2011
- [j2]Leonardo Bottolo, Marc Chadeau-Hyam, David I. Hastie, Sarah R. Langley, Enrico Petretto, Laurence Tiret, David Tregouet, Sylvia Richardson:
ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration. Bioinform. 27(4): 587-588 (2011)
2000 – 2009
- 2008
- [j1]Marc Chadeau-Hyam, Clive J. Hoggart, Paul F. O'Reilly, John C. Whittaker, Maria De Iorio, David J. Balding:
Fregene: Simulation of realistic sequence-level data in populations and ascertained samples. BMC Bioinform. 9 (2008)
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