Prediction of single cell expression from low-plex immunofluorescence images for guiding precision oncology
A deep learning model is presented for deconvoluting molecular expression from low-plex immunofluorescence imaging, paves the way for clinically implementable TIME stratification based on low-plex immunofluorescence images, and allows for standard single-cell analysis workflows to interpret multicellular expression dat...