Welcome to the code repository for Hochbaum et al., 2024
The notebook used to generate panels and statistics related to the MoSeq experiment in
The MoSeq related dataframes are located within: https://dataverse.harvard.edu/dataverse/2024_hochbaum_thyroid
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 .
The notebook used to run Q-learning models is located in '2ABT_run_Qlearning'
Mouse 2ABT dataframes used for Q-learning modeling and analyses in
Scripts for processing, annotating, and analyzing the single-nucleus RNA sequencing experiments (Figures 2, 3, S4). Raw and filtered data are publicly available as of date of publication on an NCBI GEO data repository (GSE271421) and CELLxGENE repository (https://cellxgene.cziscience.com/collections/c450e15d-321a-42d6-986b-11409d04896d).
Source code utilized from Gazestani, V., Kamath, T., Nadaf, N.M., Dougalis, A., Burris, S.J., Rooney, B., Junkkari, A., Vanderburg, C., Pelkonen, A., Gomez-Budia, M., et al. (2023). Early Alzheimer’s disease pathology in human cortex involves transient cell states. Cell 186, 4438–4453.e23. https://doi.org/10.1016/j.cell.2023.08.005.
Scripts for initial processing of filtered feature barcode matrix data and major cell class annotation.
Example scripts for neuronal and non-neuronal subtype annotation based on published mouse motor cortex reference dataset (Yao, Z., Liu, H., Xie, F., Fischer, S., Adkins, R.S., Aldridge, A.I., Ament, S.A., Bartlett, A., Behrens, M.M., Van den Berge, K., et al. (2021). A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex. Nature 598, 103–110. https://doi.org/10.1038/s41586-021-03500-8).
Example scripts for the T3 vs. C differential expression (DE) analysis in control animals (Figure 2) and Cre+ vs. Cre- DE analysis in T3+ DN-THR or WT-THR animals (Figure 3).
Downstream analyses (i.e. ordered gene set enrichment analysis) performed on DE results.