Unveiling tissue heterogeneity through genomic interaction-encoded image representation of RNA-sequencing data

This study analyzes RNA-sequencing data by converting gene-expression profiles into images that encode gene-gene interactions. This image-based representation, processed through deep learning to extract genetic patterns, significantly improves the accuracy of decomposing cellular compositions in samples while reducing susceptibility to noise compared to traditional methods.