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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-10-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05507-6 |