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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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[Identifying spatial domains from spatial transcriptome by graph attention network].

Hanwen Wu1, Jie Gao1

  • 1Jiangnan University, Wuxi, Jiangsu 214122, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|April 30, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel deep learning method using graph attention networks for spatial transcriptome data clustering. The approach effectively identifies distinct spatial domains, offering a new tool for complex biological data analysis.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics
Keywords:
Clustering analysisDeep learningGraph attention networkSpatial transcriptomics

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