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Diego Ariel Galeano - Publications

Affiliations: 
Royal Holloway, University of London, Egham, England, United Kingdom 
Area:
Computer science, computational pharmacology
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5 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Galeano D, Paccanaro A. Machine learning prediction of side effects for drugs in clinical trials. Cell Reports Methods. 2: 100358. PMID 36590692 DOI: 10.1016/j.crmeth.2022.100358  0.694
2021 de Siqueira Santos S, Torres M, Galeano D, Sánchez MDM, Cernuzzi L, Paccanaro A. Machine Learning and Network Medicine approaches for Drug Repositioning for COVID-19. Patterns (New York, N.Y.). 100396. PMID 34778851 DOI: 10.1016/j.patter.2021.100396  0.518
2021 McDonald JT, Enguita FJ, Taylor D, Griffin RJ, Priebe W, Emmett MR, Sajadi MM, Harris AD, Clement J, Dybas JM, Aykin-Burns N, Guarnieri JW, Singh LN, Grabham P, Baylin SB, ... ... Galeano D, et al. Role of miR-2392 in driving SARS-CoV-2 infection. Cell Reports. 109839. PMID 34624208 DOI: 10.1016/j.celrep.2021.109839  0.583
2021 McDonald JT, Enguita FJ, Taylor D, Griffin RJ, Priebe W, Emmett MR, McGrath M, Sajadi MM, Harris AD, Clement J, Dybas JM, Aykin-Burns N, Guarnieri JW, Singh LN, Grabham P, ... ... Galeano D, et al. The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection. Biorxiv : the Preprint Server For Biology. PMID 33948587 DOI: 10.1101/2021.04.23.441024  0.583
2020 Galeano D, Li S, Gerstein M, Paccanaro A. Predicting the frequencies of drug side effects. Nature Communications. 11: 4575. PMID 32917868 DOI: 10.1038/S41467-020-18305-Y  0.664
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