Spatial domain identification of spatial transcriptomics based on multi-scale neighborhood feature fusion
FENG Aijing
WANG Wenmiao
GAO Yiming
YE Lan
MI Jia
ZHAO Xiaogang
LIU Zhi
Abstract：To alleviate the problem of low spatial domain recognition accuracy due to high discreteness,sparsity and limited resolu-tion of spatial transcriptomic data,based on multi-scale neighborhood feature fusion strategy,we proposed a spatial domain recognition method stMSAA.The experiment was conducted on the human dorsolateral prefrontal cortex dataset and the human breast cancer data-set.The adjusted rand index,normalized mutual information,and fowlkes-mallows index reached 0.452,0.603 and 0.560,respective-ly.The results show that stMSAA can effectively integrate different scale spatial neighborhood information,accurately identify hierarchi-cal structures,edge information and improve the accuracy and robustness of spatial domain identification.
Keywords：Spatially resolved transcriptomicsSpatial domain identificationstAAMulti-scale neighborhoodFeature fusion
Publication Date：2024-12-28
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：7( 468-474 )