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@@ -36,8 +36,7 @@ Preprint on BioRxiv: [https://doi.org/10.1101/2024.04.03.587987]( https://doi.or
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pip install bioencoder
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````
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2\. Download example dataset from the data repo: [https://zenodo.org/records/10909614/files/BioEncoder-data.zip](https://zenodo.org/records/10909614/files/BioEncoder-data.zip?download=1&preview=1).
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This archive contains the images and configuration files needed for step 3/4, as well as the final model checkpoints and a script to reproduce the results and figures presented in the paper. To play around with the interactive figures and the model explorer you can also skip the training / SWA steps.
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2\. Get the [example dataset from the data repo](https://zenodo.org/records/13017212/files/BioEncoder-dataset.zip?download=1) and the config files by [downloading the git repo](https://github.com/agporto/BioEncoder/archive/refs/heads/main.zip), and extract both.
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3\. Start interactive session (e.g., in Spyder or VS code) and run the following commands one by one:
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@@ -46,13 +45,13 @@ This archive contains the images and configuration files needed for step 3/4, as
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