New Paper on Methods for Data Integration and QC of Metabolomics Data

Patricia Buendia, Ph.D., the CEO of Lifetime Omics, and collaborators published in June results of applying methods for data integration and quality control (QC) to metabolomics data. The complications that arise when performing meta-analysis of datasets from multiple metabolomics studies are addressed with computational methods that ensure QC, completeness of metadata and accurate interpretation across studies. A diabetes meta-analysis study using these QC methods finds putative biomarkers that differ between cohorts.
See publication.