Work

Clustering and interpretation on real nutritional data

Year: 2013

Type: conference-paper

Abstract: Nutritional Genomics studies diet-gene-disease interactions and aims to promote health and disease prevention. It is based on the idea that everything ingested into a person’s body affects the genome of the individual and, therefore, both genes and nutrients modify the same metabolic processes. This paper presents an application of clustering and interpretation over real heterogeneous data coming from a nutritional study. The individuals are clustered by their diet and physical activity\nhabits and the resulting clustering is interpreted. This work is part of a\nmethodology to deal with data from dietary intervention studies.

Source: RECERCAT (Consorci de Serveis Universitaris de Catalunya)

Authors: Beatriz Sevilla-Villanueva, Karina Gibert, Miquel Sànchez‐Marrè

Institution: Universitat Politècnica de Catalunya

Language: English

Topic: Nutrition, Genetics, and Disease

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Good health and well-being, Zero hunger

Open Access status: green

Funder: Agència de Gestió d'Ajuts Universitaris i de Recerca

OpenAlex ID: W831106764

FWCI:

Cites: 33

Cited by:

Related to: 10