Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

Advances in single-cell isolation and barcoding technologies offer unprecedented
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …

Recent spatial gene expression technologies enable comprehensive measurement of
transcriptomic profiles while retaining spatial context. However, existing analysis methods …

The human lung differs substantially from its mouse counterpart, resulting in a distinct distal
airway architecture affected by disease pathology in chronic obstructive pulmonary disease …

The human cerebral cortex has tremendous cellular diversity. How different cell types are
organized in the human cortex and how cellular organization varies across species remain …

Multi-view spectral clustering, which exploits the complementary information among graphs
of diverse views to obtain superior clustering results, has attracted intensive attention …

In recent years, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful
technique for investigating cellular heterogeneity and structure. However, analyzing scRNA …

Hematopoietic stem cells (HSCs) mediate regeneration of the hematopoietic system
following injury, such as following infection or inflammation. These challenges impair HSC …

Advanced metastatic cancer poses utmost clinical challenges and may present molecular
and cellular features distinct from an early-stage cancer. Herein, we present single-cell …

Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …