Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes

Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes

Gene electrotransfer (GET) is a physical method of gene delivery to various tissues utilizing pulsed electric fields to transiently permeabilize cell membranes to allow for genetic material transfer and expression. Optimal pulsing parameters dictate gene transfer efficiency and cell survival, which...

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Bibliographic Details
Main Authors: Alex Otten, Michael Francis, Anna Bulysheva
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
pulsed electric fields
gene electrotransfer
machine learning
artificial neural networks
treatment optimization algorithm
Online Access:https://www.mdpi.com/2076-3417/14/24/11601
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