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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Dettagli Bibliografici
Autori principali: William Z. D. Zeng, Benjamin S. Glicksberg, Yangyan Li, Bin Chen
Natura: Articolo
Lingua:English
Pubblicazione: BMC 2019-01-01
Serie:BMC Medical Genomics
Soggetti:
Drug repositioning
Deep learning
Autoencoder
Disease signatures
Accesso online:http://link.springer.com/article/10.1186/s12920-018-0463-6

Accesso online

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

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