Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet

Computer-based technological innovation provides advancements in sophisticated and diverse analytical instruments, enabling massive amounts of data collection with relative ease. This is accompanied by a fast-growing demand for technological progress in data mining methods for analysis of big data d...

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Detalles Bibliográficos
Autores principales: Shiokawa, Yuka, Date, Yasuhiro, Kikuchi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821832/
https://www.ncbi.nlm.nih.gov/pubmed/29467421
http://dx.doi.org/10.1038/s41598-018-20121-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821832/
https://www.ncbi.nlm.nih.gov/pubmed/29467421
http://dx.doi.org/10.1038/s41598-018-20121-w

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