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

Abstract:

: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.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Chung HJ,Kim M,Park CH,Kim J,Kim JH

doi

10.1093/nar/gkh476

keywords:

subject

Has Abstract

pub_date

2004-07-01 00:00:00

pages

W460-4

issue

Web Server issue

eissn

0305-1048

issn

1362-4962

pii

32/suppl_2/W460

journal_volume

32

pub_type

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