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Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data

2023-12-23

Abstract excerpt

<h4>Objective</h4> Classification tasks are an open challenge in the field of biomedicine. While several machine-learning techniques exist to accomplish this objective, several peculiarities associated with biomedical data, especially when it comes to omics measurements, prevent their use or good performance achievements. Omics approaches aim to understand a complex biological system through systematic analysis o...

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Literature Corpus work
1fafdcad-03bc-5f79-9db1-afa04cfba783
DOI
10.1101/2023.12.21.572852
Open publication

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Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical dataDOI 10.1101/2023.12.21.572852
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