Abstract Cancer development is driven by a small subset of somatic mutations, known as driver mutations, that disrupt key regulatory…
Abstract Identifying cancer driver genes is essential for precision oncology, but existing computational methods are often limited by their reliance…
Abstract Identifying driver genes that contribute to cancer progression from numerous passenger genes, although a central goal, is a major…
Abstract We present a computational study of tissue transcriptomic data of 14 cancer types to address: what may drive cancer…
Abstract Background: Discovery of mutated driver genes is one of the primary objective for studying tumorigenesis. To discover some relatively…