Normalizes mass spectrometry (MS)-based metabolomics data. NOREVA could conduct normalization using 24 different methods, and provided evaluation report by collectively considering 5 different criteria for assessing the normalization performance. It is able to distinguish the best performed method from the others based on multiple evaluation criteria, which provided valuable guidance to the selection of suitable algorithm in metabolomics data analysis.
Innovative Drug Research and Bioinformatics Group, School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing, China; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, China; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore, Singapore
NOREVA funding source(s)
Supported by Precision Medicine Project of the National Key Research and Development Plan of China [2016YFC0902200]; Innovation Project on Industrial Generic Key Technologies of Chongqing [cstc2015zdcy-ztzx120003]; Fundamental Research Funds for Central Universities [10611CDJXZ238826, CDJZR14468801, CDJKXB14011, 2015CDJXY].