Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network

Abstract Background In cancer genomic medicine, finding driver mutations involved in cancer development and tumor growth is crucial. Machine-learning methods to predict driver missense mutations have been developed because variants are frequently detected by genomic sequencing. However, even though...

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Bibliographic Details
Main Authors: Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, Yasushi Okuno
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-023-05507-6