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

We present two machine learning approaches for drug repurposing. While we have developed them for COVID-19, they are disease-agnostic. The two methodologies are complementary, targeting SARS-CoV-2 and host factors, respectively. Our first approach consists of a matrix factorization algorithm to rank...

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Detalles Bibliográficos
Autores principales: Santos, Suzana de Siqueira, Torres, Mateo, Galeano, Diego, Sánchez, María del Mar, Cernuzzi, Luca, Paccanaro, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576113/
https://www.ncbi.nlm.nih.gov/pubmed/34778851
http://dx.doi.org/10.1016/j.patter.2021.100396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576113/
https://www.ncbi.nlm.nih.gov/pubmed/34778851
http://dx.doi.org/10.1016/j.patter.2021.100396

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