MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data

[Display omitted] Predicting metastasis in the early stages means that clinicians have more time to adjust a treatment regimen to target the primary and metastasized cancer. In this regard, several computational approaches are being developed to identify metastasis early. However, most of the approa...

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Bibliographic Details
Published in:	Computational and structural biotechnology journal Vol. 19; pp. 4404 - 4411
Main Authors:	Albaradei, Somayah, Napolitano, Francesco, Thafar, Maha A., Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2021 Research Network of Computational and Structural Biotechnology Elsevier
Subjects:	Autoencoder biotechnology Cancer Clinical decision support Deep learning DNA methylation genome genomics Machine learning Metastasis microRNA Multi-omics multiomics Pan-cancer sequence analysis Deep learning Pan-cancer Autoencoder Machine learning Metastasis Clinical decision support Multi-omics Cancer
ISSN:	2001-0370, 2001-0370
Online Access:	Get full text
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