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

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 the abno...

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Detalles Bibliográficos
Autores principales: Hatano, Narumi, Kamada, Mayumi, Kojima, Ryosuke, Okuno, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565986/
https://www.ncbi.nlm.nih.gov/pubmed/37817080
http://dx.doi.org/10.1186/s12859-023-05507-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565986/
https://www.ncbi.nlm.nih.gov/pubmed/37817080
http://dx.doi.org/10.1186/s12859-023-05507-6

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