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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Bibliographische Detailangaben
Hauptverfasser: William Z. D. Zeng, Benjamin S. Glicksberg, Yangyan Li, Bin Chen
Format: Artikel
Sprache:English
Veröffentlicht: BMC 2019-01-01
Schriftenreihe:BMC Medical Genomics
Schlagworte:
Drug repositioning
Deep learning
Autoencoder
Disease signatures
Online Zugang:http://link.springer.com/article/10.1186/s12920-018-0463-6

Online

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

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