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 mentorAlberto Paccanaro | grad student | 2015-2019 | Royal Holloway, University of London |
Collaborators
Sign in to add collaboratorMark B. Gerstein | collaborator | (Computational Biology Tree) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
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 |