Figure 3.

Workflow and case study using web tools in LncTarD 2.0. (A) Single-cell web tools were used to characterize dynamic lncRNA–target regulations in pan-cancer and cancer-specific analysis modules. The Wilcoxon rank-sum test was used to identify differential lncRNA–target regulations by comparing the activity of lncRNA–target between a given scRNA-seq dataset and other scRNA-seq datasets. The Wilcoxon rank-sum test was used to compare the expression levels of differential lncRNAs and genes between a given single-cell scRNA-seq dataset and other scRNA-seq datasets. (B) UMAP/tSNE-based cell clustering and cell clustering maps of cell-specific lncRNA–target regulations were performed using the R package Seurat. Differential expression of lncRNAs and targets was identified using the Wilcoxon rank-sum test.