Fig. 1

Schematic overview of processing cell type-specific scRNA-seq data. Expression data were cleaned, imputed, and validated by clustering. Differential distribution analysis using scDD identified differentially expressed genes and various forms of differential distributions. Differentially distributed genes were fed into GSVA to illustrate differential representation of pathways in each individual cell. Gene co-expression information was combined with information of TF-gene motifs and TF-TF interactions in PANDA network inference. Differentially activated TF-gene couplings (edges), differentially active TFs, and genes under differential intensity of TF-regulation were studied and compared among different cell types. TFs are represented by diamonds. Genes are represented by ovals