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Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders

Genomics data provide great opportunities for translational research and the clinical practice, for example, for predicting disease stages. However, the classification of such data is a challenging task due to their high dimensionality, noise, and heterogeneity. In recent years, deep learning classi...

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Bibliografski detalji
Izdano u:FEBS Open Bio
Glavni autori: Smolander, Johannes, Dehmer, Matthias, Emmert‐Streib, Frank
Format: Artigo
Jezik:Inglês
Izdano: John Wiley and Sons Inc. 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6609581/
https://ncbi.nlm.nih.gov/pubmed/31074948
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/2211-5463.12652
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