STACK
Collection
Stack is a single-cell foundation model that enables in-context learning at inference time.
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A curated subset of CellxGene (~45M cells) used to align the Stack model after pretraining on full human scBaseCount.
Author-annotated coarse-grained cell type labels were heuristically identified and transferred to adata.obs["author_cell_type"].