Ontology highlight
ABSTRACT:
SUBMITTER: Chong EY
PROVIDER: S-EPMC4657040 | biostudies-literature | 2015 Nov
REPOSITORIES: biostudies-literature
Scientific reports 20151124
False discovery rate (FDR) control is an important tool of statistical inference in feature selection. In mass spectrometry-based metabolomics data, features can be measured at different levels of reliability and false features are often detected in untargeted metabolite profiling as chemical and/or bioinformatics noise. The traditional false discovery rate methods treat all features equally, which can cause substantial loss of statistical power to detect differentially expressed features. We pr ...[more]