Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains

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Figure 10.
Figure 10.

Results of the further ablation studies on four clustering methods and two data transformation methods using the HVG and SVG simulated data sets.

This Article

  1. Published in Advance February 5, 2025, doi: 10.1101/gr.278983.124 Genome Res. 35: 355-367

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