Fig. 6: The expression levels of NetBio pathways are consistent with immunohistochemistry-based immune phenotypes in bladder cancer.
From: Network-based machine learning approach to predict immunotherapy response in cancer patients
a Categorization of immune phenotypes using immunohistochemistry. b, c Expression levels of NetBio pathways in various immune phenotypes. For NetBio pathways, chemokine receptors bind chemokines (b) and FcgR activation (c) are shown. The two-sided Mann–Whitney U test was used to compute statistical significance for differential pathway expression levels across different immune phenotype patient groups. Boxplot shows median value, interquartile range (IQR) as bounds of the box and whiskers that extends from the box to upper/lower quartile ± IQR × 1.5. Source data are provided as a Source Data file.
