| _version_ | 1866902060458311680 |
|---|---|
| author | Thierens, Sander Vandepoele, Klaas Opdebeeck, Helder |
| author_facet | Thierens, Sander Vandepoele, Klaas Opdebeeck, Helder |
| contents | <p>Both the model architecture as the model weights for the 20 classification model to predict differential expression during ABA treatment. The weights and architecture file are the one of a post-hoc conjoining model, where both a forward and reverse complement string are used as input. The final prediction is the average value of the two predictions.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15489116 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | DeepDifE models Thierens, Sander Vandepoele, Klaas Opdebeeck, Helder <p>Both the model architecture as the model weights for the 20 classification model to predict differential expression during ABA treatment. The weights and architecture file are the one of a post-hoc conjoining model, where both a forward and reverse complement string are used as input. The final prediction is the average value of the two predictions.</p> |
| title | DeepDifE models |
| url | https://doi.org/10.5281/zenodo.15489116 |