Early antidepressant treatment response prediction in major depression using clinical and TPH2 DNA methylation features based on machine learning approaches

OBJECTIVE: To identify DNA methylation and clinical features, and to construct machine learning classifiers to assign the patients with major depressive disorder (MDD) into responders and non-responders after a 2-week treatment into responders and non-responders. METHOD: Han Chinese patients (291 in...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Bingwei, Jiao, Zhigang, Shen, Tian, Fan, Ru, Chen, Yuqi, Xu, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150459/
https://www.ncbi.nlm.nih.gov/pubmed/37127594
http://dx.doi.org/10.1186/s12888-023-04791-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150459/
https://www.ncbi.nlm.nih.gov/pubmed/37127594
http://dx.doi.org/10.1186/s12888-023-04791-z

Ejemplares similares