| The package includes multiple types of deep learning architectures such as simple fully connected networks, supervised variational autoencoders, graph convolutional networks, multi-triplet networks different options of data layer fusion, and automates feature selection and hyperparameter optimisation. |
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/flexynesis_utils
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| Utility functions for Flexynesis | 1.1.3+galaxy0 | 25.0 | |