Tissue composition is a major determinant of phenotypic variation and a key factor influencing disease outcomes. Although scRNA-Seq has emerged as a powerful technique for characterizing cellular hete
Supplementary Information Section S5 P-Value Trajectories. This file contains illustrations of the trajectory of Ď 0 (proportion of null associations in limma analyses) as K varies across different v
Single-cell RNA-sequencing (scRNA-seq) is valuable for analyzing cellular heterogeneity. Cell composition accuracy is critical for analyzing cell-cell interaction networks from scRNA-seq data because
