Cargando…
A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotype
BACKGROUND: Many gene-set analysis methods have been previously proposed and compared through simulation studies and analysis of real datasets for binary phenotypes. We focused on the survival phenotype and compared the performances of Gene Set Enrichment Analysis (GSEA), Global Test (GT), Wald-type...
Autores principales: | Lee, Seungyeoun, Kim, Jinheum, Lee, Sunho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196970/ https://www.ncbi.nlm.nih.gov/pubmed/21943316 http://dx.doi.org/10.1186/1471-2105-12-377 |
Ejemplares similares
-
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype
por: Lee, Jung Wun, et al.
Publicado: (2021) -
Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype
por: Lee, Seungyeoun, et al.
Publicado: (2018) -
A Comparative Study on Multifactor Dimensionality Reduction Methods for Detecting Gene-Gene Interactions with the Survival Phenotype
por: Lee, Seungyeoun, et al.
Publicado: (2015) -
A method for analyzing censored survival phenotype with gene expression data
por: Wu, Tongtong, et al.
Publicado: (2008) -
Comparative evaluation of gene-set analysis methods
por: Liu, Qi, et al.
Publicado: (2007)