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Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic Variants
In-silico classification of the pathogenic status of somatic variants is shown to be promising in promoting the clinical utilization of genetic tests. Majority of the available classification tools are designed based on the characteristics of germline variants or the combination of germline and soma...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804317/ https://www.ncbi.nlm.nih.gov/pubmed/35116056 http://dx.doi.org/10.3389/fgene.2021.805656 |