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. © Springer-Verlag Berlin Heidelberg 2008.
CITATION STYLE
van Hemert, J., & Baldock, R. (2008). Matching spatial regions with combinations of interacting gene expression patterns. Communications in Computer and Information Science, 13, 347–361. https://doi.org/10.1007/978-3-540-70600-7_26
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