Single cell RNA sequencing (scRNA-seq) is a powerful approach which generates genome-
wide gene expression profiles at single cell resolution. Among its many applications, it …

Motivation Single-cell RNA sequencing (scRNAseq) technologies allow for measurements
of gene expression at a single-cell resolution. This provides researchers with a tremendous …

Single cell RNA-sequencing technology (scRNA-seq) provides a new avenue to discover
and characterize cell types, but the experiment-specific technical biases and analytic …

Integration of single-cell RNA-sequencing (scRNA-seq) datasets has become a standard
part of the analysis, with conditional variational autoencoders (cVAE) being among the most …

The surge of single-cell RNA sequencing technologies gives rise to the abundance of large
single-cell RNA-seq datasets at the scale of hundreds of thousands of single cells …

Integrative analysis of large-scale single-cell RNA sequencing (scRNA-seq) datasets can
aggregate complementary biological information from different datasets. However, most …

Background Single-cell RNA sequencing (scRNA-seq) analysis analyzes the type and state
of individual cells by estimating the gene expression of each cell and enables researchers to …

Motivation Single-cell RNA sequencing (scRNA-seq) has become a valuable tool for
studying cellular heterogeneity. However, the analysis of scRNA-seq data is challenging …

Recent advances in large-scale single cell RNA-seq enable fine-grained characterization of
phenotypically distinct cellular states within heterogeneous tissues. We present scScope, a …

Single-cell RNA sequencing enables studying cells individually, yet high gene dimensions
and low cell numbers challenge the analysis. And only a subset of the genes detected are …