Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder

BACKGROUND: Detecting candidate markers in transcriptomic studies often encounters difficulties in complex diseases, particularly when overall signals are weak and sample size is small. Covariates including demographic, clinical and technical variables are often confounded with the underlying diseas...

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Detalles Bibliográficos
Autores principales: Wang, Xingbin, Lin, Yan, Song, Chi, Sibille, Etienne, Tseng, George C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342232/
https://www.ncbi.nlm.nih.gov/pubmed/22458711
http://dx.doi.org/10.1186/1471-2105-13-52

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342232/
https://www.ncbi.nlm.nih.gov/pubmed/22458711
http://dx.doi.org/10.1186/1471-2105-13-52

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