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updates for plotting, cleanups
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.gitignore

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save_other/
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gears_trained_**/
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archive/
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archive.py
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gears_models/
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save_archive/
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figures/
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lamin**.py
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scratch.py

README.md

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# Simple controls exceed best deep learning predictions and reveal foundation model effectiveness for predicting genetic perturbations
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# Simple controls exceed best deep learning algorithms and reveal foundation model effectiveness for predicting genetic perturbations
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Daniel R. Wong, Abby Hill, Robert Moccia
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## Software Installation
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We build off scGPT version 0.2.1 https://github.com/bowang-lab/scGPT
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and GEARS 0.1.2 https://github.com/snap-stanford/GEARS
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We provide a .yml file called loot_methods.yml and an install script that will create a conda environment called perturb_seq with all the necesssary packages
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We provide a .yml file called loot_methods.yml and an install script that will create a conda environment called perturb_seq with all the necesssary packages and model files
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## Scripts
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eval.sh: example SLURM script for running jobs

analysis.py

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