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hms-dbmi / dseqr

single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
https://docs.dseqr.com
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Seperate single cell cluster metadata from data object #141

Closed alexvpickering closed 4 years ago

alexvpickering commented 4 years ago

In the Pathways and Drugs tab when a single cell dataset is selected, in order to show the available clusters/associated metadata, the entire single cell dataset is loaded into memory. This causes a substantial lag before the desired clusters to compare can be selected. Would be better to save/load the necessary metadata separately from the dataset to make the app more responsive.

alexvpickering commented 4 years ago

closed with commit c5c5f51b04b3315936de9be6b2610e4ed6a5393f