TimeSearcher: Interactive Querying for Identification of Patterns in Genetic

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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.
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
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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
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Microarray Example
Chu, et al. The transcriptional program of sporulation in budding yeast,
Science 1998 Oct 23; 282(5389): 699-705.
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TimeSearcher Demo
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Conclusions
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TimeSearcher: interactive exploration of
time series data sets
Microarray data: motivating application
Other applications? Contact us….
www.cs.umd.edu/hcil/timesearcher
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