Models and Data associated with: Single-cell gene expression prediction from DNA sequence at large contexts
<p>This archive holds trained models and associated data for the <a href="https://www.biorxiv.org/content/10.1101/2023.07.26.550634v1">manuscript</a>:<br> "Single-cell gene expression prediction from DNA sequence at large contexts"</p> <p>Structure:</p> <ul> <li>configs - example configs for the workflows to produce publication data </li> <li>data_* - pre-processed single cell data used for publication</li> <li>models_* - model checkpoints, hyperparameters and training progress in tensorboard logs</li> <li>preprocessing - additional data required to reproduce the pre-processing workflow</li> </ul> <p> </p> <p>"Copyright 2023 GlaxoSmithKline Research & Development Limited. All rights reserved."</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 4