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 2 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 3 Microarray Example Chu, et al. The transcriptional program of sporulation in budding yeast, Science 1998 Oct 23; 282(5389): 699-705. 4 TimeSearcher Demo 5 Conclusions • • • TimeSearcher: interactive exploration of time series data sets Microarray data: motivating application Other applications? Contact us…. www.cs.umd.edu/hcil/timesearcher 6