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...

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Detalles Bibliográficos
Autores principales: Rustam, Gunawan, Agus Yodi, Kresnowati, Made Tri Ari Penia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
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

Internet

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

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