Heterogeneous Graph Learning for Tumor Analysis

Dissecting Tumor Microenvironment Using Graph Learning

The study introduces stKeep, a graph learning method to analyze spatially resolved transcriptomics (SRT) data and dissect tumor microenvironments (TME). stKeep integrates multimodal data to identify diverse cancer cell-states, gene modules, and cell-cell communication patterns. This approach outperforms other tools in detecting complex cellular interactions within various cancers, offering insights into disease progression and potential immunotherapy applications. The method's effectiveness is validated through clinical data, highlighting its potential for personalized cancer treatment strategies.