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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Detalles Bibliográficos
Autores principales: Yuan, Yuchen, Shi, Yi, Su, Xianbin, Zou, Xin, Luo, Qing, Feng, David Dagan, Cai, Weidong, Han, Ze-Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
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

Internet

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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