Single-cell RNA Sequencing Reveals the Epithelial Cell, Fibroblast, and Key Gene Alterations in the Occurrence and Development of Chronic Rhinosinusitis with Nasal Polyps
Single cell SCE objects for data in: Hammond TR, Dufort C, Dissing-Olesen L, Giera S, Young A, Wysoker A, Walker AJ, Gergits F, Segel M, Nemesh J, Marsh SE, Saunders A, Macosko E, Ginhoux F, Chen J, F
Dimensionality reduction and visualization play vital roles in single-cell RNA sequencing (scRNA-seq) data analysis. While they have been extensively studied, state-of-the-art dimensionality reduction
Table S5. Single-cell library statistics computed from randomly downsampled 1 million paired-end sequencing reads for mESCs and K562 using plate-based Smart-seq2 protocol and sequenced across HiSeq400
Additional file 8: Table S6. Genes differentially expressed between cryopreserved and freshly profiled warm-dissociated kidney single-cell suspensions (Seurat Wilcoxon test [30] with thresholds of log
