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: Simeng Ma, Xinhui Xie, Zipeng Deng, Wei Wang, Dan Xiang, Lihua Yao, Lijun Kang, Shuxian Xu, Huiling Wang, Gaohua Wang, Jun Yang, Zhongchun Liu Tags: Archival Report Source Type: research