Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns (bibtex)
	_day = {07},
	_month = {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.I. and R.A. Baldock},
	booktitle = {Proceedings of the 2nd International Conference on BioInformatics Research and Development},
	date-added = {2008-08-18 12:44:11 +0100},
	date-modified = {2016-03-18 11:23:11 +0000},
	editor = {M. Elloumi and \emph{et al.}},
	keywords = {data mining; life-science; 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},
	year = {2008},
	bdsk-url-1 = {}}
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