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Data dimensionality reduction technique for clustering problem of metabolomics data
In metabolomics studies, independent analyses or replicating the metabolite concentration measurements are often performed to anticipate errors. On the other hand, the size of the dataset is increasing. For clustering purposes, obtaining representative information chemically from independent analyse...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201019/ https://www.ncbi.nlm.nih.gov/pubmed/35721675 http://dx.doi.org/10.1016/j.heliyon.2022.e09715 |