Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST
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DOI: 10.1038/s41467-023-35947-w
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- Jingyang Qian & Hudong Bao & Xin Shao & Yin Fang & Jie Liao & Zhuo Chen & Chengyu Li & Wenbo Guo & Yining Hu & Anyao Li & Yue Yao & Xiaohui Fan & Yiyu Cheng, 2024. "Simulating multiple variability in spatially resolved transcriptomics with scCube," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
- Antonio Agostini & Geny Piro & Frediano Inzani & Giuseppe Quero & Annachiara Esposito & Alessia Caggiano & Lorenzo Priori & Alberto Larghi & Sergio Alfieri & Raffaella Casolino & Giulia Scaglione & Vi, 2024. "Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Hao Xu & Shuyan Wang & Minghao Fang & Songwen Luo & Chunpeng Chen & Siyuan Wan & Rirui Wang & Meifang Tang & Tian Xue & Bin Li & Jun Lin & Kun Qu, 2023. "SPACEL: deep learning-based characterization of spatial transcriptome architectures," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
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