stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning

The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and tissue heterogeneity pose significant challenges to alignment analysis. Here, we present stGuide, an att...

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Auteurs principaux:	Yupeng Xu, Hao Dai, Jinwang Feng, Keren Xu, Qiu Wang, Pingting Gao, Chunman Zuo
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2025-05-01
Collection:	Frontiers in Genetics
Sujets:	spatial transcriptomics attention-based transfer learning graph learning batch effects label transfer
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fgene.2025.1566675/full
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