Known Limitations of Tiered Filtering
If you have used any of the filters housed in the filter menu under Related Drugs, Related Proteins, or Target Disease Association you will have noticed that they first impact their own sections of columns before filtering the larger table’s data.
We are working to expand the filter’s capabilities, but in the meantime you may notice the following behaviours:
Known Limitations
Currently, Related Drugs, Related Proteins, and Target Disease Association filters all operate on their columns of data first, up until they have been refined enough to narrow the higher level table data. These sections of data can be identified by looking at the table. Their columns are nested under a higher level heading within the table.
We understand that there are instances when it would be helpful to be able to control which level a filter applies to. As an example, you might be interested in uncovering Proteins that have no approved Drugs.
Seen below, this would look like removing the Proteins (s)-mandelate dehydrogenase and (s)-2-haloacid dehalogenase.
With our current filter setup, you can’t configure the Related Drugs filter to exclude a protein if it has even one approved Related Drug.
Scheduled Improvements
We are currently working to create more flexible filter options that will allow you to specify the level of data that is impacted by your filters.
To continue the example above, we will be rolling out new filter options that enable you to choose if a Related Drugs > Approval Status filter first narrows the Related Drugs columns, or applies directly to the Proteins data.
These changes will apply across Related Drugs, Related Proteins, and Target Disease Associations data sections. This will give you increased control and predictability as you work within the Table Builder.
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