FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network.

ABSTRACT: Identification of driver genes, whose mutations cause the development of tumors, is crucial for the improvement of cancer research and precision medicine. To overcome the problem that the traditional frequency-based methods cannot detect lowly recurrently mutated driver genes, researchers have focused on the functional impact of gene mutations and proposed the function-based methods. However, most of the function-based methods estimate the distribution of the null model through the non-parametric method, which is sensitive to sample size. Besides, such methods could probably lead to underselection or overselection results. In this study, we proposed a method to identify driver genes by using functional impact prediction neural network (FI-net). An artificial neural network as a parametric

SUBMITTER: Gu H 

PROVIDER: S-EPMC7683798 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature