Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading

Nutrition affects the early stages of disease development, but the mechanisms remain poorly understood. High-throughput proteomic methods are being used to generate data and information on the effects of nutrients, foods, and diets on health and disease processes. In this report, a novel machine rea...

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Detalles Bibliográficos
Autores principales: Monteiro, Jacqueline Pontes, Morine, Melissa J., Ued, Fabio V., Kaput, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863309/
https://www.ncbi.nlm.nih.gov/pubmed/36678141
http://dx.doi.org/10.3390/nu15020270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863309/
https://www.ncbi.nlm.nih.gov/pubmed/36678141
http://dx.doi.org/10.3390/nu15020270

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