In viewing a segmented tissue dataset, the user observes a particular pattern of cell neighborhoods. The user wants to find out in what other samples or tissues cell neighborhoods with the same composition or interactions as the observed cell neighborhood can be found?
The user would launch a query through Vitessce by selecting the cell neighborhood of interest with a lasso selection and triggering a search for this neighborhood across all segmented data sets. Any result in the list of retrieved samples could be viewed immediately and furthermore, the results could summarized visually, e.g., using a bar chart to show in which tissue types this kind of cell neighborhood is common.
Because this query relies on a spatial relationship, it would be extremely challenging to define it in a non-visual search interface.
Needs
[ ] Ability to launch query through Vitessce by selecting cell neighborhoods with lasso selection. Query will search for neighborhood across all segmented datasets.
[ ] Results will show list of retrieved samples, alongside a summary visualization.
In viewing a segmented tissue dataset, the user observes a particular pattern of cell neighborhoods. The user wants to find out in what other samples or tissues cell neighborhoods with the same composition or interactions as the observed cell neighborhood can be found?
The user would launch a query through Vitessce by selecting the cell neighborhood of interest with a lasso selection and triggering a search for this neighborhood across all segmented data sets. Any result in the list of retrieved samples could be viewed immediately and furthermore, the results could summarized visually, e.g., using a bar chart to show in which tissue types this kind of cell neighborhood is common.
Because this query relies on a spatial relationship, it would be extremely challenging to define it in a non-visual search interface.
Needs