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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&nbsp;for the <a href="https://www.biorxiv.org/content/10.1101/2023.07.26.550634v1">manuscript</a>:<br> &quot;Single-cell gene expression prediction from DNA sequence at large contexts&quot;</p> <p>Structure:</p> <ul> <li>configs&nbsp;- example configs for the workflows to produce publication data&nbsp;</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>&nbsp;</p> <p>&quot;Copyright 2023 GlaxoSmithKline Research &amp; Development Limited. All rights reserved.&quot;</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

Topics