Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …

In recent years, the application of single-cell transcriptomics and spatial transcriptomics
analysis techniques has become increasingly widespread. Whether dealing with single-cell …

Background Spatial transcriptomics (ST) is advancing our understanding of complex tissues
and organisms. However, building a robust clustering algorithm to define spatially coherent …

With the rapid advancements in spatial transcriptome sequencing, multiple tissue slices are
now available, enabling the integration and interpretation of spatial cellular landscapes …

Sophisticated interactions between stromal and immune cells play crucial roles in various
biological and pathological processes. In chronic rhinosinusitis with nasal polyps …

Cell states are modulated by intrinsic driving forces such as gene expression noise and
extrinsic signals from the tissue microenvironment. The distinction between intrinsic and …

Advances in spatial transcriptomics provide an unprecedented opportunity to reveal the
structure and function of biology systems. However, current algorithms fail to address the …

Understanding the shared and divergent mechanisms across antidepressant (AD) classes
and probiotics is critical for improving treatment for mood disorders. Here we examine the …

Single-cell atlases pose daunting computational challenges pertaining to the integration of
spatial and temporal information and the visualization of trajectories across large atlases …

Spatial omics holds great potential to elucidate tissue architecture by dissecting underlying
cell niches and cellular interactions. However, we lack an end-to-end computational …