mehta-lab
Number of UMAP components
@ziw-liu , I have been using 2 UMAP components for plotting and 4 components when I compute correlation with computed features. Does this mean it will change the interpretation of results?
Originally posted by @Soorya19Pradeep in https://github.com/mehta-lab/VisCy/pull/153#discussion_r1755402256
2, 3, and 4 components UMAPs are being used in different places. My intuition is that we should only use 2 components for plotting, and do all the correlations in PC space for better interpretability.
@ziw-liu @Soorya19Pradeep @alishbaimran I agree with Ziwen - use UMAP for plotting/visualization and PCA for computing correlations with engineered features. We should do 3D UMAP renderings in napari, like in zebrahub paper: https://github.com/royerlab/zebrahub-paper-umap-3d. So # of UMAP components can be 2 or 3. When computing PCA, use the number of components that explain 95% variance of embeddings.
