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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...
Autores principales: | Yuan, Yuchen, Shi, Yi, Su, Xianbin, Zou, Xin, Luo, Qing, Feng, David Dagan, Cai, Weidong, Han, Ze-Guang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101087/ https://www.ncbi.nlm.nih.gov/pubmed/30367576 http://dx.doi.org/10.1186/s12864-018-4919-z |
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