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

@article{Chung2005ArrayXPathIM,
  title={ArrayXPath II: mapping and visualizing microarray gene-expression data with biomedical ontologies and integrated biological pathway resources using Scalable Vector Graphics},
  author={Hee-Joon Chung and Chan Hee Park and Mi Ryung Han and Seokho Lee and Jung Hun Ohn and Hyeongdong Kim and Jihun Kim and Ju Han Kim},
  journal={Nucleic Acids Research},
  year={2005},
  volume={33},
  pages={W621 - W626}
}
SUMMARY ArrayXPath (http://www.snubi.org/software/ArrayXPath/) is a web-based service for mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics (SVG). Deciphering the crosstalk among pathways and integrating biomedical ontologies and knowledge bases may help biological… CONTINUE READING