You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Over recent releases, Statistics Toolbox has included new functionality for multivariate classification methods, including cross-validation, feature selection, Naïve Bayes, bagged decision trees, ROC performance curves and integration with Parallel Computing Toolbox.
In this webinar we will give an overview of classification methods available in Statistics Toolbox and related products, and demonstrate their application to tumor classification using gene expression data.
Cite As
Sam Roberts (2026). Applying Multivariate Classification in the Life Sciences with Statistics Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/25807-applying-multivariate-classification-in-the-life-sciences-with-statistics-toolbox), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.1 (1020 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
