Selecting precise reference normal tissue samples for cancer research using a deep learning approach

Selecting precise reference normal tissue samples for cancer research using a deep learning approach

Abstract Background Normal tissue samples are often employed as a control for understanding disease mechanisms, however, collecting matched normal tissues from patients is difficult in many instances. In cancer research, for example, the open cancer resources such as TCGA and TARGET do not provide m...

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Dades bibliogràfiques
Autors principals: William Z. D. Zeng, Benjamin S. Glicksberg, Yangyan Li, Bin Chen
Format: Article
Idioma:English
Publicat: BMC 2019-01-01
Col·lecció:BMC Medical Genomics
Matèries:
Drug repositioning
Deep learning
Autoencoder
Disease signatures
Accés en línia:http://link.springer.com/article/10.1186/s12920-018-0463-6

Internet

http://link.springer.com/article/10.1186/s12920-018-0463-6

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