Genetic Network

Genetic networks represent the complex interactions between genes, influencing cellular processes and organismal development. Current research focuses on developing computational models, including graph neural networks and deep learning approaches, to infer these networks from diverse data sources like single-cell transcriptomics and microarray datasets, aiming to disentangle causal relationships between genes and predict responses to perturbations. These advancements are crucial for understanding disease mechanisms, identifying potential therapeutic targets, and improving the accuracy of disease gene discovery, ultimately impacting personalized medicine and drug development.