Matching spatial, regions with combinations of interacting gene expression patterns

被引：0

作者：

van Hemert, Jano ^{[1
]}

Baldock, Richard ^{[2
]}

机构：

[1] Univ Edinburgh, Sch Informat, Natl eSci Ctr, Edinburgh EH8 9YL, Midlothian, Scotland

[2] MRC, Human Genet Unit, Edinburgh, Midlothian, Scotland

来源：

BIOINFORMATICS RESEARCH AND DEVELOPMENT, PROCEEDINGS | 2008年 / 13卷

关键词：

gene expression patterns; in situ hybridization; spatiotemporal atlases; evolutionary algorithms;

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：347 / +

页数：2

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