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Cancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networks
BACKGROUND: With the developments of DNA sequencing technology, large amounts of sequencing data have been produced that provides unprecedented opportunities for advanced association studies between somatic mutations and cancer types/subtypes which further contributes to more accurate somatic mutati...
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| Publicado no: | BMC Genomics |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6101087/ https://ncbi.nlm.nih.gov/pubmed/30367576 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-018-4919-z |
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