Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a γH2AX foci assay

Title
Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a γH2AX foci assay
Authors
Keywords
Machine learning, Signal to noise ratio, Machine learning algorithms, Source code, Support vector machines, DNA damage, Image processing, Apoptosis
Journal
PLoS One
Volume 15, Issue 2, Pages e0229620
Publisher
Public Library of Science (PLoS)
Online
2020-02-27
DOI
10.1371/journal.pone.0229620

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

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

Search