Machine learning and network medicine approaches for drug repositioning for COVID-19

Suzana de Siquiera Santos; Mateo Torres; Diego Galeano Galeano; Maria del Mar Sanchez; Luca Cernuzzi; Alberto Paccanaro

doi:10.1016/j.patter.2021.100396

Machine learning and network medicine approaches for drug repositioning for COVID-19

Suzana de Siquiera Santos, Mateo Torres, Diego Galeano Galeano, Maria del Mar Sanchez, Luca Cernuzzi, Alberto Paccanaro

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Cell Patterns
Early online date	9 Nov 2021
DOIs	https://doi.org/10.1016/j.patter.2021.100396
Publication status	E-pub ahead of print - 9 Nov 2021

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10.1016/j.patter.2021.100396Licence: CC BY

New advances in insecticide resistance genomics: using Machine Learning to predict resistance phenotype from large-scale genomic data
Paccanaro, A.
Medical Research Council MRC
26/05/20 → 30/11/22
Project: Research
ABI innovation: A Graph based Approach for the Genome Wide Prediction of Conditionally Essential Genes
Paccanaro, A.
National Science Foundation (NSF), National Science Foundation
15/09/17 → 14/09/20
Project: Research
Bilateral NSF/BIO-BBSRC - Translational landscape to link cell growth with proliferation in the root meristem
Bogre, L. & Paccanaro, A.
Biotechnology&BioSci Research BBSRC
1/07/15 → 30/06/18
Project: Research

Cite this

@article{16262266d6824db48e0b1a85188b5c87,

title = "Machine learning and network medicine approaches for drug repositioning for COVID-19",

author = "{de Siquiera Santos}, Suzana and Mateo Torres and {Galeano Galeano}, Diego and Sanchez, {Maria del Mar} and Luca Cernuzzi and Alberto Paccanaro",

year = "2021",

month = nov,

day = "9",

doi = "10.1016/j.patter.2021.100396",

language = "English",

journal = "Cell Patterns",

}

TY - JOUR

T1 - Machine learning and network medicine approaches for drug repositioning for COVID-19

AU - de Siquiera Santos, Suzana

AU - Torres, Mateo

AU - Galeano Galeano, Diego

AU - Sanchez, Maria del Mar

AU - Cernuzzi, Luca

AU - Paccanaro, Alberto

PY - 2021/11/9

Y1 - 2021/11/9

U2 - 10.1016/j.patter.2021.100396

DO - 10.1016/j.patter.2021.100396

M3 - Article

JO - Cell Patterns

JF - Cell Patterns

ER -

Machine learning and network medicine approaches for drug repositioning for COVID-19

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Projects

New advances in insecticide resistance genomics: using Machine Learning to predict resistance phenotype from large-scale genomic data

ABI innovation: A Graph based Approach for the Genome Wide Prediction of Conditionally Essential Genes

Bilateral NSF/BIO-BBSRC - Translational landscape to link cell growth with proliferation in the root meristem

Cite this