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
Processed barcoding reads that have been processed using code: https://github.com/SydShafferLab/BarcodeAnalysis. Raw data is found in other folders in this project ("Demultiplexed sequencing reads of
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
