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

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

<jats:title>Abstract</jats:title><jats:p>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...

Полное описание

Библиографические подробности
Главные авторы: 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
Другие авторы: Massachusetts Institute of Technology. Department of Biology
Формат: Статья
Язык:English
Опубликовано: Springer Science and Business Media LLC 2023
Online-ссылка:https://hdl.handle.net/1721.1/147094

Internet

https://hdl.handle.net/1721.1/147094

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