Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet
Crossref DOI link: https://doi.org/10.1038/s41598-018-20121-w
Published Online: 2018-02-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shiokawa, Yuka
Date, Yasuhiro
Kikuchi, Jun https://orcid.org/0000-0002-6809-394X
Text and Data Mining valid from 2018-02-21
Version of Record valid from 2018-02-21
Article History
Received: 28 April 2017
Accepted: 8 January 2018
First Online: 21 February 2018
Competing Interests
: The authors declare no competing interests.