Cargando…
Assessing the Biological Significance of Gene Expression Signatures and Co-Expression Modules by Studying Their Network Properties
Microarray experiments have been extensively used to define signatures, which are sets of genes that can be considered markers of experimental conditions (typically diseases). Paradoxically, in spite of the apparent functional role that might be attributed to such gene sets, signatures do not seem t...
Autores principales: | Minguez, Pablo, Dopazo, Joaquin |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049771/ https://www.ncbi.nlm.nih.gov/pubmed/21408226 http://dx.doi.org/10.1371/journal.pone.0017474 |
Ejemplares similares
-
From genes to functional classes in the study of biological systems
por: Al-Shahrour, Fátima, et al.
Publicado: (2007) -
Topological Properties of Co-Occurrence Networks in Published Gene Expression Signatures
por: Muller, Heiko, et al.
Publicado: (2008) -
Gene set internal coherence in the context of functional profiling
por: Montaner, David, et al.
Publicado: (2009) -
GEPAS, an experiment-oriented pipeline for the analysis of microarray gene expression data
por: Vaquerizas, Juan M., et al.
Publicado: (2005) -
SNOW, a web-based tool for the statistical analysis of protein–protein interaction networks
por: Minguez, Pablo, et al.
Publicado: (2009)