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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Publicado en:PLoS One
Autores principales: Heylman, Christopher, Datta, Rupsa, Sobrino, Agua, George, Steven, Gratton, Enrico
Formato: Artigo
Lenguaje:Inglês
Publicado: Public Library of Science 2015
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Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4690607/
https://ncbi.nlm.nih.gov/pubmed/26695765
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0144572
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