Semi-supervised prediction of gene regulatory networks using machine learning algorithms

Title
Semi-supervised prediction of gene regulatory networks using machine learning algorithms
Authors
Keywords
Gene expression, gene regulatory network, random forests, semi-supervised learning, support vector machines
Journal
JOURNAL OF BIOSCIENCES
Volume 40, Issue 4, Pages 731-740
Publisher
Springer Nature
Online
2015-09-28
DOI
10.1007/s12038-015-9558-9

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