Ontology highlight
ABSTRACT:
SUBMITTER: Freeman BA
PROVIDER: S-EPMC9438248 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature
Freeman Benjamin A BA Jaro Sophie S Park Tricia T Keene Sam S Tansey Wesley W Reznik Ed E
Genome biology 20220901 1
Out of the thousands of metabolites in a given specimen, most metabolomics experiments measure only hundreds, with poor overlap across experimental platforms. Here, we describe Metabolite Imputation via Rank-Transformation and Harmonization (MIRTH), a method to impute unmeasured metabolite abundances by jointly modeling metabolite covariation across datasets which have heterogeneous coverage of metabolite features. MIRTH successfully recovers masked metabolite abundances both within single datas ...[more]