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Discrete distributional differential expression (D3E)--a tool for gene expression analysis of single-cell RNA-seq data.
SC3: consensus clustering of single-cell RNA-seq data.
Identifying cell populations with scRNASeq.
Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution.
Fast searches of large collections of single-cell data using scfind.
scmap: projection of single-cell RNA-seq data across data sets.
The Malaria Cell Atlas: Single parasite transcriptomes across the complete Plasmodium life cycle.
Single-cell transcriptomics reveals a new dynamical function of transcription factors during embryonic hematopoiesis.
Simulation-based benchmarking of isoform quantification in single-cell RNA-seq.
Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes.
Supervised clustering for single-cell analysis.
M3Drop: dropout-based feature selection for scRNASeq.
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench.
Challenges in unsupervised clustering of single-cell RNA-seq data.
Obstacles to detecting isoforms using full-length scRNA-seq data.
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data.
A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels.
Single Cell Analysis