A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...