Provided herein are methods of processing in-situ (spatial) molecular data from comics measurements of solid tissues to identify complex, network-level biomarkers using deep learning based on location, molecular analyte, biological interactions, and patient metadata to classify disease states, identify drug targets, and predict therapeutic response and outcomes.
METHOD FOR PREDICTING DISEASE STATE, THERAPEUTIC RESPONSE, AND OUTCOMES BY SPATIAL BIOMARKERS