Extended Data Fig. 7. Cellular neighborhoods in colorectal cancer resections.
a, Latent Dirichlet Allocation (LDA) probabilistic modeling was used to analyze Orion immunofluorescence data from 40 colorectal cancer specimens to reduce cell populations into neighborhoods (‘topics’) defined by patterns of single-cell marker expression. The analysis identified 12 topics that recurred across the dataset. Within each box is the LDA plot for the indicated topic (top) and a regression line scatter plot indicating the fraction of each tumor composed of the indicated LDA topic and the relationship to progression-free survival (PFS, days). Each dot represents measurements from a single patient. r value for each plot is displayed. b, Bar plot depicting the proportional distribution of the LDA Topics in the 40 colorectal cancer specimens.