Cargando…
Quantitative set analysis for gene expression: a method to quantify gene set differential expression including gene-gene correlations
Enrichment analysis of gene sets is a popular approach that provides a functional interpretation of genome-wide expression data. Existing tests are affected by inter-gene correlations, resulting in a high Type I error. The most widely used test, Gene Set Enrichment Analysis, relies on computationall...
Autores principales: | Yaari, Gur, Bolen, Christopher R., Thakar, Juilee, Kleinstein, Steven H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794608/ https://www.ncbi.nlm.nih.gov/pubmed/23921631 http://dx.doi.org/10.1093/nar/gkt660 |
Ejemplares similares
-
Quantifying selection in high-throughput Immunoglobulin sequencing data sets
por: Yaari, Gur, et al.
Publicado: (2012) -
Gene set meta-analysis with Quantitative Set Analysis for Gene Expression (QuSAGE)
por: Meng, Hailong, et al.
Publicado: (2019) -
Turning publicly available gene expression data into discoveries using gene set context analysis
por: Ji, Zhicheng, et al.
Publicado: (2016) -
Camera: a competitive gene set test accounting for inter-gene correlation
por: Wu, Di, et al.
Publicado: (2012) -
IDP-ASE: haplotyping and quantifying allele-specific expression at the gene and gene isoform level by hybrid sequencing
por: Deonovic, Benjamin, et al.
Publicado: (2017)