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Palmer, Daniel, Fabris, Fabio, Doherty, Aoife, Freitas, Alex A and de Magalhaes, Joao Pedro 
ORCID: 0000-0002-6363-2465
(2021)
Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues.
AGING-US, 13 (3).
pp. 3313-3341.
Fabris, Fabio, Palmer, Daniel, de Magalhaes, Joao Pedro ORCID: 0000-0002-6363-2465 and Freitas, Alex A
(2020)
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes.
BRIEFINGS IN BIOINFORMATICS, 21 (3).
pp. 803-814.
Barardo, Diogo G, Newby, Danielle, Thornton, Daniel ORCID: 0000-0002-4994-2942, Ghafourian, Taravat, de Magalhaes, Joao Pedro ORCID: 0000-0002-6363-2465 and Freitas, Alex A
(2017)
Machine learning for predicting lifespan-extending chemical compounds.
AGING-US, 9 (7).
pp. 1721-1737.
Magdaleno, Gustavo Daniel Vega, Bespalov, Vladislav, Zheng, Yalin ORCID: 0000-0002-7873-0922, Freitas, Alex A and de Magalhaes, Joao Pedro ORCID: 0000-0002-6363-2465
(2022)
Machine learning-based predictions of dietary restriction associations across ageing-related genes.
BMC BIOINFORMATICS, 23 (1).
10-.
Ribeiro, Caio, Farmer, Christopher K, de Magalhaes, Joao Pedro ORCID: 0000-0002-6363-2465 and Freitas, Alex A
(2023)
Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features.
AGING-US, 15 (13).
pp. 6073-6099.
Fabris, Fabio, Palmer, Daniel, Salama, Khalid M, de Magalhaes, Joao Pedro ORCID: 0000-0002-6363-2465 and Freitas, Alex A
(2020)
Using deep learning to associate human genes with age-related diseases.
BIOINFORMATICS, 36 (7).
pp. 2202-2208.
Fabris, Fabio, Doherty, Aoife, Palmer, Daniel, de Magalhaes, Joao Pedro ORCID: 0000-0002-6363-2465 and Freitas, Alex A
(2018)
A new approach for interpreting Random Forest models and its application to the biology of ageing.
BIOINFORMATICS, 34 (14).
pp. 2449-2456.
Fabris, Fabio, de Magalhes, Joao Pedro and Freitas, Alex A
(2017)
A review of supervised machine learning applied to ageing research.
BIOGERONTOLOGY, 18 (2).
pp. 171-188.