Mouse-Specific Single cell cytokine activity prediction and Estimation (MouSSE)
Fig 2
Proportion of cytokines with the highest Area Under the Receiver Operating Characteristic Curve (AUC-ROC) score calculated from cross-validated mouse lymph node target scRNA-seq data, encompassing 77,033 cells.
(Fig 2A) Comparison of MouSSE scores (mousse) with other signaling estimation methods, including normalized ligand (naive) and receptor scores (receptor), ligand-receptor product (product), NICHES application (niches), and PROGENy application (progeny). (Fig 2B) Evaluation of MouSSE scores relative to alternative gene set construction approaches, such as IREA-based gene sets scored using only positively weighted genes (irea.pos) and Seurat-based perturbation scores (seurat). (Fig 2C) Sensitivity analysis of MouSSE’s gene set construction and scoring methodology, comparing it with IREA-based gene sets incorporating both positive and negative weights and scored using MouSSE’s weighting strategy (irea.mousse) and modified MouSSE approach using only positively weighted genes (mousse.pos) and using only negatively weighted genes (mousse.neg). (Fig 2D) Overall comparison of MouSSE scores across all ten methods.