This repository contains tutorial documentation for stEDGE, an edge-guided framework for multiscale reconstruction of hierarchical spatial domains and transition interfaces in spatial transcriptomics.

People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also ...

stLearn is designed to comprehensively analyse Spatial Transcriptomics (ST) data to investigate complex biological processes within an undissociated tissue. ST is emerging as the “next generation” of ...

The complex landscape of cardiovascular diseases encompasses a wide range of related pathologies arising from diverse molecular mechanisms and exhibiting heterogeneous phenotypes. This variety of ...

Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including ...

Master Scaling Single-Cell Biology. This free webinar series covers multi-omic data integration, spatial datasets, and new AI ...

Since their early association with atopic disease, granulocytes, particularly eosinophils, have been widely used as biomarkers, yet the mechanisms underlying their role in airway and atopic ...

Cell-based therapies hold great promise for treating late-stage retinal degenerative diseases. However, photoreceptor cell transplantation has been limited by poor cellular integration, suggesting ...