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...

Full description

Saved in:
Bibliographic Details
Published in:PLoS One
Main Authors: Heylman, Christopher, Datta, Rupsa, Sobrino, Agua, George, Steven, Gratton, Enrico
Format: Artigo
Language:Inglês
Published: Public Library of Science 2015
Subjects:
Research Article
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items