Cargando…
Large scale statistical inference of signaling pathways from RNAi and microarray data
BACKGROUND: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray technology this enables researchers to gain insights into signaling pathways by observing downstream effects of individual k...
Autores principales: | Froehlich, Holger, Fellmann, Mark, Sueltmann, Holger, Poustka, Annemarie, Beissbarth, Tim |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2241646/ https://www.ncbi.nlm.nih.gov/pubmed/17937790 http://dx.doi.org/10.1186/1471-2105-8-386 |
Ejemplares similares
-
Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data
por: Fröhlich, Holger, et al.
Publicado: (2008) -
Predicting pathway membership via domain signatures
por: Fröhlich, Holger, et al.
Publicado: (2008) -
GOSim – an R-package for computation of information theoretic GO similarities between terms and gene products
por: Fröhlich, Holger, et al.
Publicado: (2007) -
Extending pathways based on gene lists using InterPro domain signatures
por: Hahne, Florian, et al.
Publicado: (2008) -
Systematic analysis of T7 RNA polymerase based in vitro linear RNA amplification for use in microarray experiments
por: Schneider, Jörg, et al.
Publicado: (2004)