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
Literature & Tutorials:
PubMed Link or the first release: ArrayXPath
PubMed Link of the 2005 update: ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics
PubMed Link of the 2005 update: ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics
This record last updated: 12-20-2005