A machine learning analysis of “big” metabolomics data for classifying depression: model development and validation

There have been many metabolomics studies of depression, 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 - December 22, 2023 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