Diego Ariel Galeano
Affiliations: | Royal Holloway, University of London, Egham, England, United Kingdom |
Area:
Computer science, computational pharmacologyGoogle:
"Diego Galeano"Mean distance: (not calculated yet) | S | N | B | C | P |
Parents
Sign in to add mentor| Alberto Paccanaro | grad student | 2015-2019 | Royal Holloway, University of London |
Collaborators
Sign in to add collaborator| Mark B. Gerstein | collaborator | (Computational Biology Tree) |
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Publications
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| Galeano D, Paccanaro A. (2022) Machine learning prediction of side effects for drugs in clinical trials. Cell Reports Methods. 2: 100358 |
| de Siqueira Santos S, Torres M, Galeano D, et al. (2021) Machine Learning and Network Medicine approaches for Drug Repositioning for COVID-19. Patterns (New York, N.Y.). 100396 |
| McDonald JT, Enguita FJ, Taylor D, et al. (2021) Role of miR-2392 in driving SARS-CoV-2 infection. Cell Reports. 109839 |
| McDonald JT, Enguita FJ, Taylor D, et al. (2021) The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection. Biorxiv : the Preprint Server For Biology |
| Galeano D, Li S, Gerstein M, et al. (2020) Predicting the frequencies of drug side effects. Nature Communications. 11: 4575 |