Excited to share our new article on building and evaluating METI, an end-to-end framework for deep profiling of tumor ecosystems using spatial transcriptomics. We’ve built on our previous success in creating super-resolution gene expression images, combined with advances in interpretable computational pathology, to enable METI to map cancer cells and TME components, stratify cell types and states, and analyze cell co-localization. We assessed METI in Bladder Cancer, Stomach Adenocarcinoma, and Lung Adenocarcinoma tissues.
Link to the Article
GitHub Page