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Color dimensionality reduction plots (UMAP, PCA, etc.) using a multi-dimensional color space derived from gene set scores — so you can visualize the activity of multiple gene programs simultaneously ...
x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125]) font1 = {'family':'serif', 'color':'blue', 'size':20} font2 = {'family':'serif', 'color':'darkred', 'size ...