Article

Comparison of classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data

2023-04-05

Abstract excerpt

Machine learnings such as multivariate analyses and clustering have been frequently used for metabolomics data analyses. In metabolomics data analyses, how much difference there is between the results calculated by supervised and unsupervised learning models is an interesting topic. Since metabolomics data include hundreds to thousands of metabolites greater than the sample numbers, only a small fraction of metabo...

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Literature Corpus work: eddbf1b9-b5c8-50bb-8f08-0056f522a960
DOI: 10.1101/2023.04.03.535336

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