Fig. 8
From: C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data
Cell type identity GEPs recovered by C-ZIPTF in the SLE dataset: a UMAP of immune cells in SLE dataset after downsampling, colored by cell type, b aggregated expression density of the top genes associated with each of the cell type identity factors, c 5 cell type identity factors recovered at rank 22 (each row represents a factor, and the first three columns display the three modes: sample, cell type, and gene, and the \(y-\)axis in the sample and cell type modes represent the loading of the sample or cell type on that factor. The gene mode exhibits the top 20 genes associated with the factor), d heatmap of normalized gene expression of the top genes associated with cell type identity factors in a randomly sampled set of single cells sorted by cell type and disease status