Differential expression of MDGA1 in major depressive disorder

The identification of gene expression-based biomarkers for major depressive disorder (MDD) continues to be an important challenge. In order to identify candidate biomarkers and mechanisms, we apply statistical and machine learning feature selection to an RNA-Seq gene expression dataset of 78 unmedic...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yijie (Jamie), Kresock, Elizabeth, Kuplicki, Rayus, Savitz, Jonathan, McKinney, Brett A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563614/
https://www.ncbi.nlm.nih.gov/pubmed/36247836
http://dx.doi.org/10.1016/j.bbih.2022.100534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563614/
https://www.ncbi.nlm.nih.gov/pubmed/36247836
http://dx.doi.org/10.1016/j.bbih.2022.100534

Ejemplares similares