TimeSearcher: Interactive Querying for Identification of Patterns in Genetic Microarray Time Series Data Harry Hochheiser Ben Shneiderman Eric Baehrecke,

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Presentation transcript:

TimeSearcher: Interactive Querying for Identification of Patterns in Genetic Microarray Time Series Data Harry Hochheiser Ben Shneiderman Eric Baehrecke, UMBI Harry Hochheiser is supported by a fellowship from America Online.

2 Time Series Data Real-Valued function over time Goal: find patterns –“Starts Low, Ends High” –Outliers –Periodic Patterns –Laggards and Leaders Data Mining, Statistics Weather Financial Data

3 Microarrays: Gene Expression Levels “ Gene Chips”: track thousands of genes over multiple conditions/time periods Understand gene regulation patterns Current tools: clustering and “heat maps” –Visual inspection Use TimeSearcher to explore patterns

4 Microarray Example Chu, et al. The transcriptional program of sporulation in budding yeast, Science 1998 Oct 23; 282(5389):

5 TimeSearcher Demo

6 Conclusions TimeSearcher: interactive exploration of time series data sets Microarray data: motivating application Other applications? Contact us….