The Festival of Genomics and Biodata is just around the corner, and we’ve had the opportunity to sit down with […] ...

Spatial ribonucleic acid (RNA) transcriptomics measures gene expression while preserving each molecule’s coordinates in intact tissue, tying transcripts to histology and local microenvironments.

A detailed description of the pipeline, methods, and results can be found in the following article: Giraud-Sauveur, F. et al. STHELAR, a multi-tissue dataset linking spatial transcriptomics and ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

This repository contains the code of the paper "DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images". Authors: Kalin Nonchev, Sebastian Dawo, Karina ...