Applying Multivariate Classification in the Life Sciences with Statistics Toolbox

version 1.0.0.1 (1020 KB) by Sam Roberts
Files from the webinar "Multivariate Classification in the Life Sciences with Statistics Toolbox"

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Updated Thu, 01 Sep 2016 15:13:45 +0000

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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 (2022). 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 .

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Created with R2009b
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