ArrayXPath -- Mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics

What you can do:
Map and visualize microarray gene-expression data for integrated biological pathway resources using Scalable Vector Graphics (SVG).
Highlights:
  • ArrayXPath is a web-based service for mapping and visualizing microarray gene-expression data with 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.
  • ArrayXPath is empowered by integrating gene-pathway, disease-pathway, drug-pathway and pathway-pathway correlations with integrated Gene Ontology, Medical Subject Headings and OMIM Morbid Map-based annotations.
  • The Fisher's exact test and the false discovery rate (FDR) are used 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.
Keywords:
  • microarray data analysis tool
  • gene expression data analysis tool
  • global gene expression analysis
  • biological pathways
This record last updated: 12-20-2005

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