Cargando…
Predicting pathway membership via domain signatures
Motivation: Functional characterization of genes is of great importance for the understanding of complex cellular processes. Valuable information for this purpose can be obtained from pathway databases, like KEGG. However, only a small fraction of genes is annotated with pathway information up to no...
Autores principales: | Fröhlich, Holger, Fellmann, Mark, Sültmann, Holger, Poustka, Annemarie, Beißbarth, Tim |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553439/ https://www.ncbi.nlm.nih.gov/pubmed/18676972 http://dx.doi.org/10.1093/bioinformatics/btn403 |
Ejemplares similares
-
Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data
por: Fröhlich, Holger, et al.
Publicado: (2008) -
Large scale statistical inference of signaling pathways from RNAi and microarray data
por: Froehlich, Holger, et al.
Publicado: (2007) -
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) -
Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification
por: Brase, Jan C, et al.
Publicado: (2010)