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Alberto Paccanaro, Ph.D.

Affiliations: 
Computer Science Royal Holloway, University of London, Egham, England, United Kingdom 
Area:
computational biology, machine learning
Website:
http://www.paccanarolab.org
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"Alberto Paccanaro"
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Parents

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Geoffrey E. Hinton grad student 1996-2002 University of Toronto
 (Learning distributed representations of relational data using linear relational embedding.)
Mark B. Gerstein post-doc 2003-2006 Yale (Computational Biology Tree)

Children

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Emilio Ferrara research assistant 2010-2012 Royal Holloway University of London
Horacio Caniza grad student 2015 Royal Holloway, University of London
Juan Cáceres grad student 2018 Royal Holloway, University of London
Diego Ariel Galeano grad student 2015-2019 Royal Holloway, University of London
Mateo Torres grad student 2015-2019 Royal Holloway, University of London

Collaborators

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BETA: Related publications

Publications

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Caniza H, Cáceres JJ, Torres M, et al. (2024) LanDis: the disease landscape explorer. European Journal of Human Genetics : Ejhg
Galeano D, Paccanaro A. (2022) Machine learning prediction of side effects for drugs in clinical trials. Cell Reports Methods. 2: 100358
Sacramento CQ, Fintelman-Rodrigues N, Dias SSG, et al. (2022) Unlike Chloroquine, Mefloquine Inhibits SARS-CoV-2 Infection in Physiologically Relevant Cells. Viruses. 14
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
Ye C, Paccanaro A, Gerstein M, et al. (2020) The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data. Bmc Bioinformatics. 21: 222
Gliozzo J, Perlasca P, Mesiti M, et al. (2020) Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction. Scientific Reports. 10: 3612
Dawes JC, Webster P, Iadarola B, et al. (2020) LUMI-PCR: an Illumina platform ligation-mediated PCR protocol for integration site cloning, provides molecular quantitation of integration sites. Mobile Dna. 11: 7
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