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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2015
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| 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 |