Single-cell transcriptomics can profile thousands of cells in a single experiment and identify
novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard …

Massive single-cell profiling efforts have accelerated our discovery of the cellular
composition of the human body while at the same time raising the need to formalize this new …

Cardiovascular disease is the leading cause of death worldwide. Advanced insights into
disease mechanisms and therapeutic strategies require a deeper understanding of the …

Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and
dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from …

The extent to which neurogenesis occurs in adult primates remains controversial. In this
study, using an optimized single-cell RNA sequencing pipeline, we profiled 207,785 cells …

Cytosine DNA methylation is essential in brain development and is implicated in various
neurological disorders. Understanding DNA methylation diversity across the entire brain in a …

Cardiovascular disease is the leading cause of death globally. An advanced understanding
of cardiovascular disease mechanisms is required to improve therapeutic strategies and …

Cancer immunogenomics is an emerging field that bridges genomics and immunology. The
establishment of large-scale genomic collaborative efforts along with the development of …

Clustering is a powerful machine learning method for discovering similar patterns according
to the proximity of elements in feature space. It is widely used in computer science …

Accurate cell type identification is a key and rate-limiting step in single-cell data analysis.
Single-cell references with comprehensive cell types, reproducible and functionally …