Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram

Charting an organs’ biological atlas requires us to spatially resolve the entire single-cell transcriptome, and to relate such cellular features to the anatomical scale. Single-cell and single-nucleus RNA-seq (sc/snRNA-seq) can profile cells comprehensively, but lose spatial information. Spatial tra...

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Detalles Bibliográficos
Autores principales: Biancalani, Tommaso, Scalia, Gabriele, Buffoni, Lorenzo, Avasthi, Raghav, Lu, Ziqing, Sanger, Aman, Tokcan, Neriman, Vanderburg, Charles R., Segerstolpe, Åsa, Zhang, Meng, Avraham-Davidi, Inbal, Vickovic, Sanja, Nitzan, Mor, Ma, Sai, Subramanian, Ayshwarya, Lipinski, Michal, Buenrostro, Jason, Brown, Nik Bear, Fanelli, Duccio, Zhuang, Xiaowei, Macosko, Evan Z., Regev, Aviv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566243/
https://www.ncbi.nlm.nih.gov/pubmed/34711971
http://dx.doi.org/10.1038/s41592-021-01264-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566243/
https://www.ncbi.nlm.nih.gov/pubmed/34711971
http://dx.doi.org/10.1038/s41592-021-01264-7

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