Disease / Phenotype web-PAGE: parametric analysis of gene expression, a web based tool for disease based gene set analysis of microarray gene expression
Disease/ Phenotype PAGE is a disease focused gene set analysis web tool to analyze microarray gene expression data with predefined groups of disease related genes. This tool focuses on gene set analysis using groups of genes that have been genetically determined to be relevant to human disease or genetically assigned phenotypes found in animal models of disease. For a description and available gene sets, please click here .
1) Register; After registering, your browser will be redirected to the main page on the secure site where you are required to login with the username and password that you created during the registration process. You only need to register once, on subsequent visits you will go directly to step 2 and login with the username and password that you created during registration.
2) If you have registered, go directly to login.
*This webtool is described in the publication: De S, et al .
*The gene set used here are described in the publication: Zhang Y, et al
Our other bioinformatics projects:
Disease/ Phenotype PAGE was developed and is maintained by members of the Gene Expression and Genomics Unit , Research Resources Branch, of the National Institute on Aging, National Institutes of Health.
If you use this online tool for a publication, we would ask that you please cite or acknowledge:
1. Zhang Y, De S, Garner JR, Smith K, Wang SA, Becker KG.Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information. BMC Med Genomics. 2010 Jan 21;3:1.
2.De S, Zhang Y, Garner JR, Wang SA, Becker KG. Disease and phenotype gene set analysis of disease based gene expression in mouse and human. Physiol. Genomics. 2010 Aug 3.
Please contact Dr.Yongqing Zhang to report bugs, problems, suggestions, or requests.
Funding Credits: This resource was supported by the Intramural Research Program of the NIH, National Institute on Aging.