ArrayXPath：使用可缩放矢量图形，通过整合生物通路资源来映射和可视化微阵列基因表达数据。
ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics.
作者信息
Chung Hee-Joon, Kim Mingoo, Park Chan Hee, Kim Jihoon, Kim Ju Han
机构信息
Seoul National University Biomedical Informatics, Seoul National University College of Medicine, Seoul 110-799, Republic of Korea.
出版信息
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W460-4. doi: 10.1093/nar/gkh476.
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.
摘要
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