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GapGenes_Autoencoder

Decoding the Drosophila gap gene network with an autoencoder

Information on the different notebooks and folders is in Instructions_for_Juliette_s_Notebooks.pdf.

Thank you to Thomas Gregor's lab for the data. Data source: Petkova, M. D., Tkačik, G., Bialek, W., Wieschaus, E. F., & Gregor, T. (2019). Optimal Decoding of Cellular Identities in a Genetic Network. Cell, 176(4), 844–855.e15. https://doi.org/10.1016/j.cell.2019.01.007

Packages needed

Tensorflow, plotly (only useful to plot neural network, not really necessary) (I think need to install tensor flow 1.7.1 to make plotly work), scipy, numpy, matplotlib

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