Gene Expression Pattern

See: Gene Expression, Pattern, Gene Expression Profile, Gene Expression Data.

References

Jano van Hemert, and Richard Baldock. (2008). “Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns.
- 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.
- Keywords: Gene Expression Patterns, In Situ Hybridization, Spatio-Temporal Atlas, Evolutionary Algorithm
- QUOTE: A gene expression pattern is the result of a stain observed through a curation process. If we would negate the pattern, i.e.

(Herrero, 2002) ⇒ Javier Herrero. (2002). “Gene Expression Pattern Preprocessing -- Manual." Bioinformatics Unit. CNIO
Quote:
- Gene expression data are ratios of expression levels of two different samples. Usually, one sample corresponds to the experimental condition and the other one is a reference sample (Figure 1).
- A gene expression pattern is a suite of expression data for a gene along a suite of different experimental conditions (Figure 2).
- Figure 1 http://transcriptome.ens.fr/gepas/docs/preprocess/html/manual.html#img:experimental_design
- Figure 2 http://transcriptome.ens.fr/gepas/docs/preprocess/html/manual.html#img:gene_expression_patterns