Cargando…
Partition decoupling for multi-gene analysis of gene expression profiling data
BACKGROUND: Multi-gene interactions likely play an important role in the development of complex phenotypes, and relationships between interacting genes pose a challenging statistical problem in microarray analysis, since the genes involved in these interactions may not exhibit marginal differential...
Autores principales: | Braun, Rosemary, Leibon, Gregory, Pauls, Scott, Rockmore, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3276603/ https://www.ncbi.nlm.nih.gov/pubmed/22208906 http://dx.doi.org/10.1186/1471-2105-12-497 |
Ejemplares similares
-
Improved IBD detection using incomplete haplotype information
por: Genovese, Giulio, et al.
Publicado: (2010) -
Orienteering in Knowledge Spaces: The Hyperbolic Geometry of Wikipedia Mathematics
por: Leibon, Gregory, et al.
Publicado: (2013) -
The partitioned LASSO-patternsearch algorithm with application to gene expression data
por: Shi, Weiliang, et al.
Publicado: (2012) -
GeneSurrounder: network-based identification of disease genes in expression data
por: Shah, Sahil D., et al.
Publicado: (2019) -
Relative power and sample size analysis on gene expression profiling data
por: van Iterson, M, et al.
Publicado: (2009)