Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction

The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. To date, the most common prediction strategies are based upon machine learning or other quantitative structure-activity relationships (QSAR) based approaches. In th...

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Detalles Bibliográficos
Autores principales: Tejera, E., Carrera, I., Jimenes-Vargas, Karina, Armijos-Jaramillo, V., Sánchez-Rodríguez, A., Cruz-Monteagudo, M., Perez-Castillo, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779297/
https://www.ncbi.nlm.nih.gov/pubmed/31589649
http://dx.doi.org/10.1371/journal.pone.0223276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779297/
https://www.ncbi.nlm.nih.gov/pubmed/31589649
http://dx.doi.org/10.1371/journal.pone.0223276

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