Deep model predictive control of gene expression in thousands of single cells

<p>Experimental data, training datasets, and trained models for our study on deep model predictive control of gene expression in bacteria. This data can be used to reproduce our results and figures.</p> <p>See our preprint here: <a href="https://www.biorxiv.org/content/10.1101/2022.10.28.514305">biorxiv.org/content/10.1101/2022.10.28.514305</a></p> <p>And our code repository here: <a href="https://gitlab.com/dunloplab/deepcellcontrol">gitlab.com/dunloplab/deepcellcontrol</a></p> <p><strong>Contents:</strong></p> <ul> <li><em>datasets.zip</em>: Formatted experimental data used to train and validate fluorescence forecasting models.</li> <li><em>experiments.zip:</em> Processed data for all control experiments.</li> <li><em>misc.zip</em>: Files necessary to reproduce some figures or to exactly reproduce some of our results.</li> <li><em>models.zip</em>: Trained neural network models and associated files.</li> </ul>