Single cell RNA-sequencing (scRNA-seq) advancements have helped detect transcriptional
heterogeneities in biological samples. However, scRNA-seq cannot currently provide high …

Recent technological developments in spatial transcriptomics allow researchers to measure
gene expression of cells and their spatial locations at the single-cell level, generating …

How does the brain translate sensory information into complex behaviors? With relatively
small neuronal numbers, readable behavioral outputs, and an unparalleled genetic toolkit …

Progress in understanding early human development has been impeded by the scarcity of
reference datasets from natural embryos, particularly those with spatial information during …

Single-cell RNA sequencing allows us to model cellular state dynamics and fate decisions
using expression similarity or RNA velocity to reconstruct state-change trajectories; however …

Background The emergence of high-resolved spatial transcriptomics (ST) has facilitated the
research of novel methods to investigate biological development, organism growth, and …

Spatial transcriptome technologies have enabled the measurement of gene expression
while maintaining spatial location information for deciphering the spatial heterogeneity of …

A fundamental analysis task for single-cell transcriptomics data is clustering with subsequent
visualization of cell clusters. The genes responsible for the clustering are only inferred in a …

Background: The first spatially resolved transcriptomics platforms, GeoMx (Nanostring) and
Visium (10x Genomics) were launched in 2019 and were recognized as the method of the …

The nervous system is one of the most complicated and enigmatic systems within the animal
kingdom. Recently, the emergence and development of spatial transcriptomics (ST) and …