Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns

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. Key words: gene expression patterns, in situ hybridization, spatiotemporal atlases; evolutionary algorithms

• Type: Conference
• Year: 2008
• Where: BIRD
• Authors: Jano I. van Hemert, Richard A. Baldock
• Keywords: Bioinformatics, BIRD 2008, Curated Gene Expression, Gene Expression Patterns, In-situ Gene Expression