Gene Set

Gene sets, collections of genes with shared biological functions, are crucial for understanding complex biological processes and diseases. Current research focuses on improving the accuracy and interpretability of gene set analysis, employing machine learning models like large language models (LLMs) and graph neural networks, alongside statistical methods, to identify and characterize these sets. These advancements aim to overcome limitations in existing databases and enhance the discovery of novel gene functions, ultimately accelerating progress in functional genomics and precision medicine. The development of more robust and explainable methods for gene set analysis is driving significant improvements in the interpretation of high-throughput biological data.