| 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
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| A deep-learning based multi-omics bulk sequencing data integration suite | 0.2.17+galaxy1 | 24.1 | |