Machine learning methods for prediction of cancer driver genes: a survey paper
Renan Andrades,
Mariana Recamonde-Mendoza
Abstract:Identifying the genes and mutations that drive the emergence of tumors is a major step to improve understanding of cancer and identify new directions for disease diagnosis and treatment. Despite the large volume of genomics data, the precise detection of driver mutations and their carrying genes, known as cancer driver genes, from the millions of possible somatic mutations remains a challenge. Computational methods play an increasingly important role in identifying genomic patterns associated with cancer drive… Show more
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