Open AccessRetraction: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach
Author(s) -
Laura Fisher
Publication year - 2021
Publication title -
rsc advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.746
H-Index - 148
ISSN - 2046-2069
DOI - 10.1039/d1ra90062e
Subject(s) - metabolomics , acute kidney injury , throughput , computational biology , computer science , medicine , bioinformatics , biology , wireless , telecommunications
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