Cargando…
PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data
Summary: Finding significant differences between the expression levels of genes or proteins across diverse biological conditions is one of the primary goals in the analysis of functional genomics data. However, existing methods for identifying differentially expressed genes or sets of genes by compa...
Autores principales: | Glaab, Enrico, Schneider, Reinhard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268235/ https://www.ncbi.nlm.nih.gov/pubmed/22123829 http://dx.doi.org/10.1093/bioinformatics/btr656 |
Ejemplares similares
-
RepExplore: addressing technical replicate variance in proteomics and metabolomics data analysis
por: Glaab, Enrico, et al.
Publicado: (2015) -
pathVar: a new method for pathway-based interpretation of gene expression variability
por: de Torrente, Laurence, et al.
Publicado: (2017) -
InCroMAP: integrated analysis of cross-platform microarray and pathway data
por: Wrzodek, Clemens, et al.
Publicado: (2013) -
LinkinPath: from sequence to interconnected pathway
por: Ingsriswang, Supawadee, et al.
Publicado: (2011) -
TopoGSA: network topological gene set analysis
por: Glaab, Enrico, et al.
Publicado: (2010)