Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current
cell-type classification system. However, a transcriptome-based single-cell atlas has not …

Single-cell RNA sequencing (scRNA-seq) is the leading technique for characterizing the
transcriptomes of individual cells in a sample. The latest protocols are scalable to thousands …

Our understanding of the development and maintenance of tissues has been greatly aided
by large-scale gene expression analysis. However, tissues are invariably complex, and …

Automated cell type identification is a key computational challenge in single‐cell RNA‐
sequencing (sc RNA‐seq) data. To capitalise on the large collection of well‐annotated sc …

With the recent transformative developments in single-cell genomics and, in particular,
single-cell gene expression analysis, it is now possible to study tissues at the single-cell …

A major challenge in developmental biology is to understand the genetic and cellular
processes/programs driving organ formation and differentiation of the diverse cell types that …

Charting an organs' biological atlas requires us to spatially resolve the entire single-cell
transcriptome, and to relate such cellular features to the anatomical scale. Single-cell and …

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied
to experiments representing a single condition, technology, or species to discover and …

INTRODUCTION Understanding the differentiation of stem cells into the vast amount of cell
types that form the human body is a central problem of basic and medical science. The …

Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex
systems. However, a comprehensive single-cell atlas has not been achieved for humans …