• Subjects Cellular signalling networks Multicellular systems Identifying cell-cell interactions from imaging-based spatial transcriptomics suffers from limited gene panels. • A new self-supervised graph transformer-based method can resolve spatial single-cell-level interactions without requiring known ligand-receptor pairs. • This is a preview of subscription content,access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 27,99 €/ 30 days cancel any time Subscribe to this journal Receive 12 digital issues and online access to articles 111,21 € per year only 9,27 € per issue Rent or buy this article Prices vary by article type from$1.95 to$39.95 Prices may be subject to local taxes which are calculated during checkout References Armingol, E., Baghdassarian, H. • Genet.25, 381-400 (2024).ArticleGoogle Scholar Armingol, E., Baghdassarian, H. • Genet.25, 381-400 (2024). • ArticleGoogle Scholar Cheng, X.
Article Summaries:
- Identifying cell-cell interactions from imaging-based spatial transcriptomics suffers from limited gene panels. A new self-supervised graph transformer-based method can resolve spatial single-cell-level interactions without requiring known ligand-receptor pairs. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 27,99 € / 30 days cancel any time Subscribe to this journal Receive 12 digital issues and online access to articles 111,21 € per year only 9,27
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