Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes

Supervised machine learning can be used to predict which drugs human cardiomyocytes have been exposed to. Using electrophysiological data collected from human cardiomyocytes with known exposure to different drugs, a supervised machine learning algorithm can be trained to recognize and classify cells...

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Detalles Bibliográficos
Autores principales: Heylman, Christopher, Datta, Rupsa, Sobrino, Agua, George, Steven, Gratton, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690607/
https://www.ncbi.nlm.nih.gov/pubmed/26695765
http://dx.doi.org/10.1371/journal.pone.0144572

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690607/
https://www.ncbi.nlm.nih.gov/pubmed/26695765
http://dx.doi.org/10.1371/journal.pone.0144572

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