Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

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 ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Spatial proteomics has emerged as a transformative approach in modern biomedical research. Unlike conventional proteomics, spatial proteomics preserves spatial context, enabling high-resolution ...