Single cell messenger RNA sequencing (scRNA-seq) provides a window into transcriptional
landscapes in complex tissues. The recent introduction of droplet based transcriptomics …

Abstract We develop CellSIUS (Cell Subtype Identification from Upregulated gene Sets) to
fill a methodology gap for rare cell population identification for scRNA-seq data. CellSIUS …

Recent advancements in both single-cell RNA-sequencing technology and computational
resources facilitate the study of cell types on global populations. Up to millions of cells can …

Although single-cell RNA sequencing can reliably detect large-scale transcriptional
programs, it is unclear whether it accurately captures the behavior of individual genes …

High-throughput single-cell technologies have great potential to discover new cell types;
however, it remains challenging to detect rare cell types that are distinct from a large …

Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical
research. One of the key challenges is to ensure that only single, live cells are included in …

Single-cell RNA-sequencing (scRNA-seq) is an indispensable tool for characterizing cellular
diversity and generating hypotheses throughout biology. Droplet-based scRNA-seq datasets …

Droplet-based single-cell RNA sequencing protocols have dramatically increased the
throughput of single-cell transcriptomics studies. A key computational challenge when …

Droplet based single cell transcriptomics has recently enabled parallel screening of tens of
thousands of single cells. Clustering methods that scale for such high dimensional data …

Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …