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Bioinformatics (Oxford, England)|June 19, 2016
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteinsFabio Fabris, Alex A Freitas
Biogerontology|March 8, 2017
A review of supervised machine learning applied to ageing researchFabio Fabris, João Pedro de Magalhães, Alex A Freitas
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 15, 2015
An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related GenesFabio Fabris, Alex A Freitas, Jennifer M A Tullet
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 24, 2020
A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity GenesPablo Nascimento da Silva, Alexandre Plastino, Fabio Fabris, et al.
Briefings in Bioinformatics|March 22, 2019
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classesFabio Fabris, Daniel Palmer, João Pedro de Magalhães, et al.
Aging|February 21, 2021
Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissuesDaniel Palmer, Fabio Fabris, Aoife Doherty, et al.
Bioinformatics (Oxford, England)|February 21, 2018
A new approach for interpreting Random Forest models and its application to the biology of ageingFabio Fabris, Aoife Doherty, Daniel Palmer, et al.
Bioinformatics (Oxford, England)|December 18, 2019
Using deep learning to associate human genes with age-related diseasesFabio Fabris, Daniel Palmer, Khalid M Salama, et al.
Genome Biology|November 21, 2019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screensNaihui Zhou, Yuxiang Jiang, Timothy R Bergquist, et al.
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