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Welcome to the code repository for Hochbaum et al., 2024

MoSeq

The notebook used to generate panels and statistics related to the MoSeq experiment in $Figure S3$ is located in 'MoSeq_figS3'

MoSeq data:

The MoSeq related dataframes are located within: https://dataverse.harvard.edu/dataverse/2024_hochbaum_thyroid

Reinforcement learning modeling (Q-learning) for 2ABT

To install the Q-learning model for the 2-arm bandit analysis, install the package contained within the Q_learning_2ABT subfolder. Instructions: Open a terminal and navigate to the 'Q_learning_2ABT' sub-directory

cd Q_learning_2ABT

Install the package

pip install .

2ABT modeling notebook:

The notebook used to run Q-learning models is located in '2ABT_run_Qlearning'

2ABT data:

Mouse 2ABT dataframes used for Q-learning modeling and analyses in $Figures 5/6/S6$ are located within: https://dataverse.harvard.edu/dataverse/2024_hochbaum_thyroid

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