Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies

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Figure 5.
Figure 5.

Evaluating and comparing the performance of Proust in layer segmentation with other popular existing methods on the Visium human DLPFC data set that contains H&E images. (A) Box plot of clustering accuracy in 12 DLPFC samples across Proust and five other existing methods based on Adjusted Rand Index (ARI). (B) Manual annotation of tissue slices 151,509 and 151,674 and spatial domains assigned by the six methods. (C) UMAP visualization of reduced dimensions from Proust and GraphST for 151,509 and 151,674.

This Article

  1. Genome Res. 35: 1621-1632

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