Quantitative gene set analysis generalized for repeated measures, confounder adjustment, and continuous covariates

BACKGROUND: Gene set analysis (GSA) of gene expression data can be highly powerful when the biological signal is weak compared to other sources of variability in the data. However, many gene set analysis approaches utilize permutation tests which are not appropriate for complex study designs. For ex...

Descripción completa

Detalles Bibliográficos
Autores principales: Turner, Jacob A., Bolen, Christopher R., Blankenship, Derek M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551517/
https://www.ncbi.nlm.nih.gov/pubmed/26316107
http://dx.doi.org/10.1186/s12859-015-0707-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551517/
https://www.ncbi.nlm.nih.gov/pubmed/26316107
http://dx.doi.org/10.1186/s12859-015-0707-9

Ejemplares similares