[Dataset] 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...
| Autores: | , , , , , , , |
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| Formato: | conjunto de datos |
| 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:10261/385636 |
| Acesso em linha: | http://hdl.handle.net/10261/385636 https://digital.csic.es/handle/10261/358127 |
| Access Level: | acceso abierto |
| Palavra-chave: | Metabolomics Data fusion MCR-ALS NMR http://metadata.un.org/sdg/9 http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
| 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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