Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction
Abstract Background Exploring the relationship between disease and gene is of great significance for understanding the pathogenesis of disease and developing corresponding therapeutic measures.The prediction of disease-gene association by computational methods accelerates the process.Results Many existing methods cannot fully utilize the multi-dime