SMILE: systems metabolomics using interpretable learning and evolution
Abstract Background Direct link between metabolism and cell and organism phenotype in health and disease makes metabolomics, a high throughput study of small molecular metabolites, an essential methodology for understanding and diagnosing disease development and progression. Machine learning methods...
Main Authors: | Chengyuan Sha, Miroslava Cuperlovic-Culf, Ting Hu |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-05-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-021-04209-1 |
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