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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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scGRID (Tabula Muris - Marrow data)

Authors: Joumier, Loïck; Marcil, Alexandre; Malleshaiah, Mohan;

scGRID (Tabula Muris - Marrow data)

Abstract

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.

Keywords

Cell type annotation, Single-cell classification, scRNA-seq, Machine learning, Cell fate identity, Gene regulatory networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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