SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics

SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics

The basic analysis steps of spatial transcriptomics require obtaining gene expression information from both space and cells. The existing tools for these analyses incur performance issues when dealing with large datasets. These issues involve computationally intensive spatial localizati...

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Bibliographic Details
Main Authors: Chun Gong, Shengkang Li, Leying Wang, Fuxiang Zhao, Shuangsang Fang, Dong Yuan, Zijian Zhao, Qiqi He, Mei Li, Weiqing Liu, Zhaoxun Li, Hongqing Xie, Sha Liao, Ao Chen, Yong Zhang, Yuxiang Li, Xun Xu
Format: Article
Language:English
Published: GigaScience Press 2024-02-01
Series:GigaByte
Online Access:https://gigabytejournal.com/articles/111
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