Extended Data Fig. 3: Cell-type annotation and canonical biomarker identification using TabMap.
From: Interpretable discovery of patterns in tabular data via spatially semantic topographic maps
(a) 2D t-SNE visualization of T cells using embeddings extracted from the fully connected layer of the trained TabMap model, with ten distinct clusters represented by different colors. (b) Top 20 genes with the highest SHAP values crucial for identifying T cell subtypes CD8+TRM, CD4+FOXP3+, and CD4+RGCC+. Key genes previously identified in literature are marked in red on the y-axis. (c) Heat map illustrating local attributions of key genes based on SHAP values, with cells grouped into clusters as indicated by color bars at the bottom. Key genes for each cluster are annotated on the y-axis. Attribution values are color-coded, with positive attributions shown in red and negative attributions in blue.
