Diego Galeano
Diego Galeano
Facultad de Ingenieria, Universidad Nacional de Asuncion
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Predicting the frequencies of drug side effects
D Galeano, S Li, M Gerstein, A Paccanaro
Nature communications 11 (1), 4575, 2020
Role of miR-2392 in driving SARS-CoV-2 infection
JT McDonald, FJ Enguita, D Taylor, RJ Griffin, W Priebe, MR Emmett, ...
Cell reports 37 (3), 2021
Core mitochondrial genes are down-regulated during SARS-CoV-2 infection of rodent and human hosts
JW Guarnieri, JM Dybas, H Fazelinia, MS Kim, J Frere, Y Zhang, ...
Science translational medicine 15 (708), eabq1533, 2023
A tool for balance control training using muscle synergies and multimodal interfaces
D Galeano, F Brunetti, D Torricelli, S Piazza, JL Pons
BioMed research international 2014 (1), 565370, 2014
A recommender system approach for predicting drug side effects
D Galeano, A Paccanaro
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
Machine learning and network medicine approaches for drug repositioning for COVID-19
S de Siqueira Santos, M Torres, D Galeano, M del Mar Sánchez, ...
Patterns 3 (1), 2022
A comprehensive SARS-CoV-2 and COVID-19 review, Part 2: host extracellular to systemic effects of SARS-CoV-2 infection
SA Narayanan, DA Jamison Jr, JW Guarnieri, V Zaksas, M Topper, ...
European Journal of Human Genetics 32 (1), 10-20, 2024
The interplay between lncRNAs, RNA-binding proteins and viral genome during SARS-CoV-2 infection reveals strong connections with regulatory events involved in RNA metabolism …
FJ Enguita, AL Leitão, JT McDonald, V Zaksas, S Das, D Galeano, ...
Theranostics 12 (8), 3946, 2022
Machine learning prediction of side effects for drugs in clinical trials
D Galeano, A Paccanaro
Cell Reports Methods 2 (12), 2022
Drug targets prediction using chemical similarity
D Galeano, A Paccanaro
2016 XLII Latin American Computing Conference (CLEI), 1-7, 2016
The great deceiver: miR-2392’s hidden role in driving SARS-CoV-2 infection
JT McDonald, FJ Enguita, D Taylor, RA Bowen, RJ Griffin, W Priebe, ...
bioRxiv, 2021.04. 23.441024, 2021
Robótica médica
D Galeano
Universidad Católica Nuestra Señora de la Asunción, 2016
Posturography platform and balance control training and research system based on FES and muscle synergies
D Galeano, F Brunetti, D Torricelli, S Piazza, JLP Rovira
Neurotechnology, Electronics, and Informatics: Revised Selected Papers from …, 2015
Learning interpretable disease self-representations for drug repositioning
F Frasca, D Galeano, G Gonzalez, I Laponogov, K Veselkov, A Paccanaro, ...
arXiv preprint arXiv:1909.06609, 2019
Predicting the frequency of drug side effects
D Galeano, A Paccanaro
bioRxiv, 594465, 2019
Interpretable Drug Target Predictions using Self-Expressiveness
D Galeano, S Noto, R Jimenez, A Paccanaro
bioRxiv, 2021.03. 01.433365, 2021
The Geometric Sparse Matrix Completion Model for Predicting Drug Side effects
D Galeano, A Paccanaro
bioRxiv, 652412, 2019
A low cost platform based on fes and muscle synergies for postural control research and rehabilitation
D Galeano, F Brunetti, D Torricelli, S Piazza, JL Pons
International Congress on Neurotechnology, Electronics and Informatics 2, 21-31, 2013
A Recommender System Approach for Predicting Effective Antivirals
R Adorno, D Galeano, DH Stalder, L Cernuzzi, A Paccanaro
2021 XLVII Latin American Computing Conference (CLEI), 1-10, 2021
Mining the Biomedical Literature to predict shared drug targets in drugbank
H Caniza, D Galeano, A Paccanaro
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Artículos 1–20