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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Vydáno v:PLoS One
Hlavní autoři: Heylman, Christopher, Datta, Rupsa, Sobrino, Agua, George, Steven, Gratton, Enrico
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2015
Témata:
Research Article
On-line přístup: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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