GRAFT: a graph-aware fusion transformer for cancer driver gene prediction
Abstract Identifying cancer driver genes is essential for precision oncology, but existing computational methods are often limited by their reliance…
Abstract Identifying cancer driver genes is essential for precision oncology, but existing computational methods are often limited by their reliance…
Abstract Background/Objectives: Studying protein–protein interaction (PPI) networks is crucial in understanding cancer phenotypes and molecular mechanisms. Here, we focus on…
Abstract Network estimation is essential for understanding the structure and function of biological systems, but current statistical approaches fail to…
Abstract Introduction: MicroRNAs (miRNAs) regulate gene expression and play an important role in carcinogenesis through complex interactions with messenger RNAs…
Abstract Simple Summary: We show how the relationship between the sub-network entropy of malignant up-regulated genes in twelve different types…
Abstract Introduction: Cocaine is a highly addictive drug that is abused due to its excitatory effect on the central nervous…
Abstract Transcription factors (TFs) and microRNAs (miRNAs) are well-characterized trans-acting essential players in gene expression regulation. Growing evidence indicates that…