Abstract Motivation Single cell RNA-Seq (scRNA-Seq) facilitates the characterization of cell
type heterogeneity and developmental processes. Further study of single cell profiles across …

With rapid technical advances, single cell RNA-seq (scRNA-seq) has been used to detect
cell subtypes exhibiting distinct gene expression profiles and to trace cell transitions in …

Single-cell RNA sequencing (scRNA-seq) has generated numerous data and renewed our
understanding of biological phenomena at the cellular scale. Identification of cell types has …

Background: The recently developed single-cell RNA sequencing (scRNA-seq) has
attracted a great amount of attention due to its capability to interrogate expression of …

As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …

Cell clustering is one of the most common routines in single cell RNA-seq data analyses, for
which a number of specialized methods are available. The evaluation of these methods …

Single-cell RNA-seq (scRNA-seq) allows researchers to define cell types on the basis of
unsupervised clustering of the transcriptome. However, differences in experimental methods …

Abstract Single cell RNA-Seq (scRNA-seq) studies profile thousands of cells in
heterogeneous environments. Current methods for characterizing cells perform …

Background With the recent proliferation of single-cell RNA-Seq experiments, several
methods have been developed for unsupervised analysis of the resulting datasets. These …

The power of single cell RNA sequencing (scRNA-seq) stems from its ability to uncover cell
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …