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- Hierarchically cluster gene expression data based on the spatial similarities between the patterns.
- Find genes with globally similar patterns of expression (i.e. synexpression groups).
- demo
- Improved spatial clustering is planned to be in a future release of EMAGE.
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- Compare sets of EMAGE entries for similarities or differences.
- Find genes that are expressed in both 'query region X' and 'anatomy term Y' for example.
- Comparison of datasets sets is planned to be in a future release of EMAGE.
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- Use BioMart to query EMAGE
- Particularly useful for data-mining type queries.
- BioMart query is planned to be in a future release of EMAGE.
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- Hierarchically cluster gene expression data based on the text descriptions of the patterns.
- Find genes with similar patterns of expression (i.e. synexpression groups).
- Text based clustering is planned to be in a future release of EMAGE.
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