Cargando…
Gowinda: unbiased analysis of gene set enrichment for genome-wide association studies
Summary: An analysis of gene set [e.g. Gene Ontology (GO)] enrichment assumes that all genes are sampled independently from each other with the same probability. These assumptions are violated in genome-wide association (GWA) studies since (i) longer genes typically have more single-nucleotide polym...
Autores principales: | Kofler, Robert, Schlötterer, Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400962/ https://www.ncbi.nlm.nih.gov/pubmed/22635606 http://dx.doi.org/10.1093/bioinformatics/bts315 |
Ejemplares similares
-
ebGSEA: an improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies
por: Dong, Danyue, et al.
Publicado: (2019) -
PoPoolation2: identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq)
por: Kofler, Robert, et al.
Publicado: (2011) -
EnrichIntersect: an R package for custom set enrichment analysis and interactive visualization of intersecting sets
por: Zhao, Zhi, et al.
Publicado: (2022) -
LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor
por: Sheffield, Nathan C., et al.
Publicado: (2016) -
GSEApy: a comprehensive package for performing gene set enrichment analysis in Python
por: Fang, Zhuoqing, et al.
Publicado: (2022)