ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics
AUTOR(ES)
Chung, Hee-Joon
FONTE
Oxford University Press
RESUMO
Biological pathways can provide key information on the organization of biological systems. ArrayXPath (http://www.snubi.org/software/ArrayXPath/) is a web-based service for mapping and visualizing microarray gene-expression data for integrated biological pathway resources using Scalable Vector Graphics (SVG). By integrating major bio-databases and searching pathway resources, ArrayXPath automatically maps different types of identifiers from microarray probes and pathway elements. When one inputs gene-expression clusters, ArrayXPath produces a list of the best matching pathways for each cluster. We applied Fisher's exact test and the false discovery rate (FDR) to evaluate the statistical significance of the association between a cluster and a pathway while correcting the multiple-comparison problem. ArrayXPath produces Javascript-enabled SVGs for web-enabled interactive visualization of pathways integrated with gene-expression profiles.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=441614Documentos Relacionados
- Model-based cluster analysis of microarray gene-expression data
- Identification of frequent cytogenetic aberrations in hepatocellular carcinoma using gene-expression microarray data
- MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data
- Clustering gene-expression data with repeated measurements
- Selection bias in gene extraction on the basis of microarray gene-expression data