Multivariate curve resolution-based data fusion approaches applied in 1H NMR metabolomic analysis of healthy cohorts

Metabolomics plays a critical role in deciphering metabolic alterations within individuals, demanding the use of sophisticated analytical methodologies to navigate its intricate complexity. While many studies focus on single biofluid types, simultaneous analysis of multiple matrices enhances underst...

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Detalhes bibliográficos
Autores: Martínez Bilesio, Andrés R., Puig-Castellví, Francesc, Tauler, Romà, Sciara, Mariela, Fay, Fabián, Rasia, Rodolfo M., Burdisso, Paula, García-Reiriz, Alejandro G.
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2024
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/358127
Acesso em linha:http://hdl.handle.net/10261/358127
https://api.elsevier.com/content/abstract/scopus_id/85192858557
Access Level:acceso embargado
Palavra-chave:NMR
Data fusion
MCR-ALS
Metabolomics
http://metadata.un.org/sdg/3
Ensure healthy lives and promote well-being for all at all ages
Descrição
Resumo:Metabolomics plays a critical role in deciphering metabolic alterations within individuals, demanding the use of sophisticated analytical methodologies to navigate its intricate complexity. While many studies focus on single biofluid types, simultaneous analysis of multiple matrices enhances understanding of complex biological mechanisms. Consequently, the development of data fusion methods enabling multiblock analysis becomes essential for comprehensive insights into metabolic dynamics.

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