Identification of Dietary Pattern Networks Associated with Gastric Cancer Using Gaussian Graphical Models: A Case-Control Study

Identification of Dietary Pattern Networks Associated with Gastric Cancer Using Gaussian Graphical Models: A Case-Control Study

Gaussian graphical models (GGMs) are novel approaches to deriving dietary patterns that assess how foods are consumed in relation to one another. We aimed to apply GGMs to identify dietary patterns and to investigate the associations between dietary patterns and gastric cancer (GC) risk in a Korean...

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Bibliographic Details
Main Authors: Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Cancers
Subjects:
Gaussian graphical models
dietary patterns
gastric cancer
networks
Online Access:https://www.mdpi.com/2072-6694/12/4/1044

Internet

https://www.mdpi.com/2072-6694/12/4/1044

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