@article{HB2008, _day = {07}, abstract = {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.}, author = {van Hemert, J and RA Baldock}, date-added = {2008-08-18 12:44:11 +0100}, date-modified = {2008-08-18 12:44:11 +0100}, editor = {M Elloumi and \emph{et al.}}, journal = {BioInformatics Research and Development}, keywords = {data mining; biomedical; DGEMap; e-Science}, pages = {347--361}, publisher = {Springer}, series = {Communications in Computer and Information Science}, title = {Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns}, volume = {2}, year = {2008}, bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-540-71233-6_6}}