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stHGNN: Deciphering spatial transcriptomics data via dual hypergraph learning enhancement

delete2026-08-04
delete0
PRE
AI
J
Jinghong Tang
L
Lezhi Chen
S
Siyu Yi *
W
Wei Liu
M
Mingyang Li
Y
Yifan Wang
Z
Ziyue Qiao
B
Bin Guo
X
Xianggen Liu
J
Jiancheng Lv
W
Wei Ju
DOI：10.1016/j.patcog.2026.114585delete
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摘要

摘要

En 中文
我们提出了一种双视图超图框架用于空间转录组学。 我们建模高阶依赖关系以实现稳健的空间域识别。 我们将零膨胀负二项分布（ZINB）和平滑损失相结合以增强生物学一致性。 广泛的实验表明，我们的方法在下游分析中具有优越性。
Keyword:
Spatial Transcriptomics
Hypergraph learning
Spatial domain identification
Clustering

期刊

Pattern Recognition 封面图
Pattern Recognition
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

U
university of international business and economics
学者数:
221
论文数: 172
被引数: 0
G
Great Bay University
学者数:
483
论文数: 414
被引数: 504
S
sichuan university
学者数:
12.1W
论文数: 7.8W
被引数: 100
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