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Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns

Presentation Type: 

The Edinburgh Mouse Atlas aims to capture in-situ gene expression patterns in a common spatial framework. In this study, we construct a grammar to define spatial regions by combinations of these patterns. Combinations are formed by applying operators to curated gene expression patterns from the atlas, thereby resembling gene interactions in a spatial context. The space of combinations is searched using an evolutionary algorithm with the objective of finding the best match to a given target pattern. We evaluate the method by testing its robustness and the statistical significance of the results it finds.

Date and time: 
Wednesday, 9 July, 2008 - 15:30
BioInformatics Research and Development 2008, Vienna, Austria.