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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-07-01
|
| Series: | FEBS Open Bio |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2211-5463.12652 |