Retraction: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach

Retraction of ‘High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach’ by Hai-Hong Li et al., RSC Adv., 2018, 8, 14838–14847, DOI: 10.1039/C8RA01749B

Detalles Bibliográficos
Autor principal: Fisher, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698548/
https://www.ncbi.nlm.nih.gov/pubmed/35427079
http://dx.doi.org/10.1039/d1ra90062e
Descripción
Sumario:Retraction of ‘High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach’ by Hai-Hong Li et al., RSC Adv., 2018, 8, 14838–14847, DOI: 10.1039/C8RA01749B

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