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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| 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 |