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A masked generative graph representation learning framework empowering precise spatial domain identification
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DOI：10.1093/bioinformatics/btag333.png)
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摘要
En 中文
空间转录组学（ST）能够在保留组织空间背景的同时测量基因表达。然而，ST数据的稀疏性导致基因表达和空间信息利用不足，从而产生表征不佳的嵌入，并给下游分析带来挑战。
Keyword:
Spatial transcriptomics
Gene expression
Graph representation learning
Spatial domain identification
Data sparsity
期刊
IF:
5.4
论文数:
1.3K
被引数:
17.9W
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