A machine learning model for predicting patients with major depressive disorder: A study based on transcriptomic data

BACKGROUND: Identifying new biomarkers of major depressive disorder (MDD) would be of great significance for its early diagnosis and treatment. Herein, we constructed a diagnostic model of MDD using machine learning methods. METHODS: The GSE98793 and GSE19738 datasets were obtained from the Gene Exp...

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Detalles Bibliográficos
Autores principales: Liu, Sitong, Lu, Tong, Zhao, Qian, Fu, Bingbing, Wang, Han, Li, Ginhong, Yang, Fan, Huang, Juan, Lyu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393475/
https://www.ncbi.nlm.nih.gov/pubmed/36003956
http://dx.doi.org/10.3389/fnins.2022.949609

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393475/
https://www.ncbi.nlm.nih.gov/pubmed/36003956
http://dx.doi.org/10.3389/fnins.2022.949609

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