Abstract: Gene expression data and non-gene data can be integrated. Data so integrated can be analyzed in a variety of ways. For example, queries based on epidemiological data can be processed to generate results. The results can be further refined and analyzed. For example, further queries can be based on gene expression criteria to identify gene expression phenomena within the results. Grouping of data into sets is supported, and analysis tools can determine feature differences between sets or otherwise present the sets in a variety of ways, including visual depiction of gene expression data.
Type:
Application
Filed:
May 26, 2005
Publication date:
January 26, 2006
Applicants:
The Gov.of the USA as Repted. by the Secretary of the Dept. of Health & Human Services, Centers....., SRA International, Inc.
Inventors:
Suzanne Vernon, Amarendra Yavatkar, Elizabeth Unger, William Reeves, Dan Bui, Stanley Lucas