A Machine Learning Analysis of Big Metabolomics Data for Classifying Depression: Model Development and Validation

Many metabolomics studies of depression have been performed, but these have been limited by their scale. A comprehensive in silico analysis of global metabolite levels in large populations could provide robust insights into the pathological mechanisms underlying depression and candidate clinical biomarkers.
Source: Biological Psychiatry - Category: Psychiatry Authors: Tags: Archival Report Source Type: research