Filter datasets (projects) based on desired constraints and quality control metrics.
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Click on project id/UMAP to go to project-specific page with additional statistics and plotting.
Most prevalent class:
Most prevalent subclass:
Number of Cells
Class Precision Recall
Subclass Precision Recall
Quality Control statistics
MetaMarkers: cell type annotation
MetaNeighbor accesses replicability across datasets within the BICCN
The Brain Initiative - Cell Census Network (BICCN) is a ... Here we take high quality scRNA seq data from the BICCN, and assess replicability of cell types across datasets using MetaNeighbor (cite). MetaNeighbor uses a neighbor voting algorithm... etc
Something about the hierarchical cell type annotations
MetaMarkers looks for specific and sensitive markers across the BICCN datasets