spaMGCN: a graph convolutional network with autoencoder for spatial domain identification using multi-scale adaptation

Abstract Spatial domain identification is crucial in spatial transcriptomics analysis. Existing methods excel with continuous and clustered distributions but struggle with discrete ones. We present spaMGCN, an innovative approach specifically designed for identifying spatial domains, especially in d...

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Bibliographic Details
Main Authors: Tianjiao Zhang, Hongfei Zhang, Zhongqian Zhao, Saihong Shao, Yucai Jiang, Xiang Zhang, Guohua Wang
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Genome Biology
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Online Access:https://doi.org/10.1186/s13059-025-03637-z
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