
This Zenodo repository contains data and model artifacts derived from the Tabula Muris mouse single-cell RNA-sequencing atlas. Specifically, it includes cell-type-specific gene regulatory networks (CTSGRNs) inferred from Tabula Muris data, associated node features used for graph-based learning, and trained Graph Attention Network (GAT) models generated as part of the scGRID framework. Tabula Muris is a comprehensive, multi-organ single-cell transcriptomic atlas of the adult mouse, generated using both droplet-based and full-length scRNA-seq technologies. The original dataset was produced by the Chan Zuckerberg Biohub and collaborators, and is publicly available at:https://biohub.org/sf/tabula-muris/ The files provided here are intended to support reproducibility, benchmarking, and reuse of regulatory-network-based single-cell classification methods.
Cell type annotation, Single-cell classification, scRNA-seq, Machine learning, Cell fate identity, Gene regulatory networks
Cell type annotation, Single-cell classification, scRNA-seq, Machine learning, Cell fate identity, Gene regulatory networks
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