Reconstruction of 3-dimensional tissue organization at the single-cell resolution [ST]
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE220572
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We designed a neural network-based computational method that learns transcriptome-to-space mapping and reconstructs 3D tissue organization by learning from scRNA-seq and spatial transcriptomic data. Human foreskin samples were fixed using FFPE protocol and then sectioned and analyzed using 10X Visium v1 FFPE ST protocol
创建时间：
2024-07-31
