Architectures and accuracy of artificial neural network for disease classification from omics data

BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as transcriptomes and metabolomes, have long existed...

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Detalles Bibliográficos
Autores principales: Yu, Hui, Samuels, David C., Zhao, Ying-yong, Guo, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399893/
https://www.ncbi.nlm.nih.gov/pubmed/30832569
http://dx.doi.org/10.1186/s12864-019-5546-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399893/
https://www.ncbi.nlm.nih.gov/pubmed/30832569
http://dx.doi.org/10.1186/s12864-019-5546-z

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