Fig. 5
From: diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering
Results for experimental dataset BCR-XL. Results for re-analysis of experimental dataset BCR-XL using method diffcyt-DS-limma; testing for differential states (DS) within cell populations. Heatmap shows phenotypes (median arcsinh-transformed expression profiles for cell type markers) for the top 40 most highly significant detected cluster–marker combinations (left panel), and expression by sample for the cell state marker (signaling marker) in each detected cluster–marker combination (right panel). Rows (cluster–marker combinations) are ordered by decreasing adjusted p-values. Cell state marker names and adjusted p-values are displayed in right-hand-side row headings. Color scale for expression of cell type markers is normalized to 1st and 99th percentiles across all clusters and markers. Only the top 40 most highly significant detected cluster–marker combinations (out of 1400 total) are shown, for easier visibility. Runtime was 15.0 s, on a 2014 MacBook Air laptop, 1.7 GHz processor, 8 GB memory, using a single processor core
