Cellular senescence is a well-established driver of aging and age-related diseases. There
are many challenges to mapping senescent cells in tissues such as the absence of specific …

Studies with temporal or spatial resolution are crucial to understand the molecular dynamics
and spatial dependencies underlying a biological process or system. With advances in high …

Spatial transcriptomics technologies are used to profile transcriptomes while preserving
spatial information, which enables high-resolution characterization of transcriptional patterns …

Spatial transcriptomics technologies generate gene expression profiles with spatial context,
requiring spatially informed analysis tools for three key tasks, spatial clustering, multisample …

Spatial transcriptomics (ST) has demonstrated enormous potential for generating intricate
molecular maps of cells within tissues. Here we present iStar, a method based on …

We present a statistical simulator, scDesign3, to generate realistic single-cell and spatial
omics data, including various cell states, experimental designs and feature modalities, by …

Spiders produce nature's toughest fiber using renewable components at ambient
temperatures and with water as solvent, making it highly interesting to replicate for the …

Spatial transcriptomics are a collection of genomic technologies that have enabled
transcriptomic profiling on tissues with spatial localization information. Analyzing spatial …

Spatial transcriptomics (ST) technologies are revolutionizing the way to explore the spatial
architecture of tissues. Currently, ST data analysis is often restricted to a single two …

Tumours can obtain nutrients and oxygen required to progress and metastasize through the
blood supply. Inducing angiogenesis involves the sprouting of established vessel beds and …