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Achar committed Dec 5, 2021
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Expand Up @@ -3,8 +3,6 @@ Pipeline to process cytokine data, extract integral features, train a neural net

Sooraj R. Achar#, François X. P. Bourassa#, Thomas J. Rademaker#, Angela Lee, Taisuke Kondo, Emanuel Salazar-Cavazos, John S. Davies, Naomi Taylor, Paul François, and Grégoire Altan-Bonnet. "Universal antigen encoding of T cell activation from high dimensional cytokine data", submitted, 2021. (#: these authors contributed equally)

More details on the Github where the code is hosted: https://github.com/soorajachar/antigen-encoding-pipeline

To process the data, run the script named "antigen-encoding-pipeline-gui.py" (type ./antigen-encoding-pipeline-gui.py from the terminal)

When running for the first time, or when a new experiment needs to be added, drop the raw dataframes from plateypus in data/current. Data must belong to one of these categories of experiment and are required to have the name of that category somewhere in their dataframe's name:
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