Label propagation is robust to biomarker panel composition, tracking efficiency, and tissue type.
<p><b>(A)</b> Overview of single-slide validation experiment. Ground-truth cell type clusters were generated on all cells and all biomarkers for a tissue section dataset. Across a range of proportions, the cells were split into ‘tracked’ (green) and ‘untracked’ (yellow) matrices. W...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p><b>(A)</b> Overview of single-slide validation experiment. Ground-truth cell type clusters were generated on all cells and all biomarkers for a tissue section dataset. Across a range of proportions, the cells were split into ‘tracked’ (green) and ‘untracked’ (yellow) matrices. Within each tracking proportion, the matrices were subset to a random biomarker panel half the size of the original panel. A k-NN classifier was trained on the ‘tracked’ cells and used to predict which ground-truth clusters an ‘untracked’ cell belonged to. The predictions were randomly subsampled and compared against the ground-truth labels from the ‘untracked’ cells. <b>(B)</b> Ground-truth Leiden clusters (n = 13) for a healthy tonsil dataset. Cells are annotated by Leiden cluster in a 2D UMAP representation of the full biomarker panel (left) and a spatial scatterplot (right). <b>(C)</b> Ground-truth Leiden clusters (n = 17) for a colorectal cancer whole-slide image dataset. Cells are annotated by Leiden cluster in a 2D UMAP representation of the full biomarker panel (left) and a spatial scatterplot (right). <b>(D)</b> Boxplot showing F1-score for the predicted cell type labels at each anchor cell proportion across 1000 random marker panels in the experiment for both the tonsil ROI dataset (orange) and the colorectal cancer WSI dataset (blue). <b>(E)</b> Histograms for both the tonsil ROI dataset (orange) and the colorectal cancer WSI dataset (blue) showing the distribution of Pearson correlation coefficients for all 1000 random panels. The correlation coefficient was calculated to test the correlation between anchor cell proportion and F1 score for each panel separately.</p> |
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