Predicting genotoxicity of viral vectors for stem cell gene therapy using gene expression-based machine learning

Title
Predicting genotoxicity of viral vectors for stem cell gene therapy using gene expression-based machine learning
Authors
Keywords
gene therapy, insertional mutagenesis, genotoxicity, machine learning, gene expression, support vector machine, integrating viral vectors, preclinical risk assessment, safety assay gene therapy, in vitro assay
Journal
MOLECULAR THERAPY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-06-24
DOI
10.1016/j.ymthe.2021.06.017

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search