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De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc
Based on a deep generative model of variational graph autoencoder (VGAE), we develop a new method, DeepLinc (deep learning framework for Landscapes of Interacting Cells), for the de novo reconstruction of cell interaction networks from single-cell spatial transcriptomic data. DeepLinc demonstrates h...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164488/ https://www.ncbi.nlm.nih.gov/pubmed/35659722 http://dx.doi.org/10.1186/s13059-022-02692-0 |