Cargando…
Clustering and principal-components approach based on heritability for mapping multiple gene expressions
When the number of phenotypes in a genetic study is on the scale of thousands, such as in studies concerning thousands of gene expression levels, the single-trait analysis is computationally intensive, and heavy adjustment of multiple comparisons is required. Traditional multivariate genetic linkage...
Autores principales: | Wang, Yuanjia, Fang, Yixin, Wang, Shuang |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367519/ https://www.ncbi.nlm.nih.gov/pubmed/18466463 |
Ejemplares similares
-
Linkage analysis using principal components of gene expression data
por: Atkinson, Elizabeth J, et al.
Publicado: (2007) -
Identification of gene-gene interaction using principal components
por: Li, Jia, et al.
Publicado: (2009) -
The role of heritability in mapping expression quantitative trait loci
por: Huang, Song, et al.
Publicado: (2007) -
A principal-components-based clustering method to identify multiple variants associated with rheumatoid arthritis and arthritis-related autoantibodies
por: Black, Mary Helen, et al.
Publicado: (2009) -
Linkage and association analyses of principal components in expression data
por: Hinrichs, Anthony L, et al.
Publicado: (2007)