Cargando…
Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine
BACKGROUND: A large proportion of major depressive patients will experience recurring episodes. Many patients still do not response to available antidepressants. In order to meaningfully predict who will not respond to which antidepressant, it may be necessary to combine multiple biomarkers and clin...
Autores principales: | Zhang, Huijie, Li, Xianglu, Pang, Jianyue, Zhao, Xiaofeng, Cao, Suxia, Wang, Xinyou, Wang, Xingbang, Li, Hengfen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283444/ https://www.ncbi.nlm.nih.gov/pubmed/32581871 http://dx.doi.org/10.3389/fpsyt.2020.00493 |
Ejemplares similares
-
QuickSNP: an automated web server for selection of tagSNPs
por: Grover, Deepak, et al.
Publicado: (2007) -
The Impact of tagSNPs in CXCL16 Gene on the Risk of Myocardial Infarction in a Chinese Han Population
por: Xu, Shun, et al.
Publicado: (2017) -
Association of tagSNPs at lncRNA MALAT-1 with HCC Susceptibility in a Southern Chinese Population
por: Ji, Xiaohui, et al.
Publicado: (2019) -
XAB2 tagSNPs contribute to non-small cell lung cancer susceptibility in Chinese population
por: Pei, Na, et al.
Publicado: (2015) -
Study on the relationship between TagSNPs and haplotype of hCHK2 and esophageal cancer in Kazakh and Han in Xinjiang
por: Yin, Dong, et al.
Publicado: (2012)