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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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Bibliographische Detailangaben
Veröffentlicht in:FEBS Open Bio
Hauptverfasser: Smolander, Johannes, Dehmer, Matthias, Emmert‐Streib, Frank
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2019
Schlagworte:
Online Zugang: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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