Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets

Title
Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets
Authors
Keywords
Tuberculosis diagnostics, Transcriptional biomarkers, Data integration, Machine learning models, Expression array data
Journal
APPLIED SOFT COMPUTING
Volume 74, Issue -, Pages 264-273
Publisher
Elsevier BV
Online
2018-10-23
DOI
10.1016/j.asoc.2018.10.005

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

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now