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 read more disease-gene association by computational methods accelerates the process.Results Many existing methods cannot fully utilize the