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SPACEL: deep learning-based characterization of spatial transcriptome architectures

Medicine and Health

SPACEL: deep learning-based characterization of spatial transcriptome architectures

H. Xu, S. Wang, et al.

Discover SPACEL, a groundbreaking deep learning toolkit designed for spatial transcriptomics data analysis. This innovative tool surpasses 19 existing methods, enabling superior cell type deconvolution, spatial domain identification, and 3D tissue reconstruction. Developed by a team from the University of Science and Technology of China and the Hefei Comprehensive National Science Center, SPACEL is set to revolutionize the field.... show more
Citation Metrics
Citations
108
Influential Citations
10
Reference Count
57
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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