Code and dataset for: CRTC1 knockdown disrupts cortical homeostasis and induces widespread IEG expression in the marmoset visual cortex

Le résumé fourni par la source

This repository provides the dataset and analysis code used in the study:Nakagami et al., "CRTC1 knockdown disrupts cortical homeostasis and induces widespread immediate early gene expression in the marmoset visual cortex", Neuroscience Research (in press).The repository contains the cleaned hemisphere-level dataset and analysis scripts used to reproduce the statistical results reported in Table 2 and Supplementary Tables 5-1, 5-2, and 5-3 of the manuscript.The analysis evaluates how the number of shCRTC1#1 injection sites per hemisphere affects the ordinal category of IEG expression.A proportional-odds ordinal logistic regression model was used to test whether the number of shCRTC1#1 injection sites predicts IEG expression levels across hemispheres.These materials enable reproducibility of the statistical analysis described in the manuscript.Files includeddataset_hemisphere_level.csvCleaned hemisphere-level dataset used for ordinal logistic regression analysis.ordinal_logit_analysis.pyPython script implementing the proportional-odds ordinal logistic regression model.environment.ymlConda environment specification for reproducing the analysis environment.README.mdInstructions for reproducing the analysis results reported in the manuscript.Method descriptionStatistical analyses were performed using a proportional-odds ordinal logistic regression model.Outcome variable:Dataset and analysis code associated with:Nakagami et al., Neuroscience Research (online)Ordinal category of IEG (cFOS) expression.Predictor:Number of shCRTC1#1 injection sites per hemisphere (0–3).The script provided in this repository reproduces the results reported in Table 2 of the manuscript.Relation to figures and tables in the articleThe dataset and analysis scripts provided here reproduce the statistical analysis reported in Table 2 and Supplementary Tables 5-1 and 5-2 of the article. The dataset corresponds to hemisphere-level measurements used for the proportional-odds ordinal logistic regression analysis described in the Methods section and Table 1.Contents of this repository- dataset_hemisphere_level.csv: hemisphere-level dataset used for the ordinal logistic regression analysis- ordinal_logit_analysis.py: script implementing the proportional-odds ordinal logistic regression- environment.yml: conda environment specification for reproducing the computational environment- README.md: instructions for reproducing the analyses

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