Article

CDMPred: A Tool for Predicting Cancer Driver Mutations with High-Quality Passenger Mutations and Ensemble Learning

2022-02-18

Abstract excerpt

<h4>Background: </h4> Benchmark datasets are of great importance for model construction and must be representative of the phenomenon being investigated. Currently available computational methods for predicting driver mutations have been trained with positive sample data, typically derived from cancer-related databases such as the Catalogue of Somatic Mutations in Cancer (COSMIC) database, whereas negative samples...

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Literature Corpus work: 92594957-7e35-5909-b8a3-f3d19b8abfff
DOI: 10.21203/rs.3.rs-1350438/v1

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