Differential Gene

Differential gene expression analysis aims to identify genes exhibiting altered activity levels between different biological conditions, such as healthy versus diseased tissue. Current research focuses on improving the accuracy and efficiency of this analysis, particularly at the single-cell level, using advanced techniques like contrastive siamese networks and network-based regression models that incorporate information about gene interactions. These advancements are driving progress in biomarker discovery for disease diagnosis and treatment, as well as enabling more effective drug repurposing strategies by linking gene expression profiles to drug responses. The ultimate goal is to leverage these insights for personalized medicine and improved therapeutic interventions.