Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks

Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks

Abstract Background Blockage of some ion channels and in particular, the hERG (human Ether-a’-go-go-Related Gene) cardiac potassium channel delays cardiac repolarization and can induce arrhythmia. In some cases it leads to a potentially life-threatening arrhythmia known as Torsade de Pointes (TdP)....

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Bibliographic Details
Main Authors: Mohsen Sharifi, Dan Buzatu, Stephen Harris, Jon Wilkes
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Bioinformatics
Subjects:
Artificial Neural Network
Cardiac arrhythmia
Cardiotoxicity
hERG
Ion channels
Multilayer Perceptron
Online Access:http://link.springer.com/article/10.1186/s12859-017-1895-2

Internet

http://link.springer.com/article/10.1186/s12859-017-1895-2

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