Machine Learning Integration
Machine Learning Integration is a computational methodology that incorporates machine learning algorithms into metabolomics data analysis to enable automated pattern recognition, predictive modeling, and interpretation of complex metabolic profiles, distinguishing it from conventional statistical approaches by its ability to adaptively learn from high-dimensional, non-linear datasets.
141
Publications
8.5K
Citations
796
Authors
411
Institutions
Publications per year
2017–2026
128
Parents
141
Yannick Djoumbou-Feunang, Jarlei Fiamoncini, Alberto Gil-de-la-Fuente et al. · Journal of Cheminformatics · 2019 · 513 citations · Full text
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ETH Zurich
Zurich, Switzerland
5 h-index
11 publications
465 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
5 publications
188 citations

University of Toronto
Toronto, Canada
3 h-index
16 publications
2.6K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
139 citations

University of Gothenburg
Gothenburg, Sweden
2 h-index
3 publications
168 citations
University of Bern
Bern, Switzerland
2 h-index
5 publications
76 citations
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Berlin, Germany
2 h-index
5 publications
81 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
7 publications
132 citations
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2 publications · 122 citations
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2 publications · 47 citations
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2 publications · 82 citations
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2 publications · 69 citations
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2 publications · 87 citations
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