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https://github.com/noorulhudaajmal/temporal-analysis-of-pallidus-mr1-dataset
Pallidus MR1 data analysis
https://github.com/noorulhudaajmal/temporal-analysis-of-pallidus-mr1-dataset
Last synced: 8 days ago
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Pallidus MR1 data analysis
- Host: GitHub
- URL: https://github.com/noorulhudaajmal/temporal-analysis-of-pallidus-mr1-dataset
- Owner: noorulhudaajmal
- Created: 2024-07-19T02:19:52.000Z (5 months ago)
- Default Branch: master
- Last Pushed: 2024-07-19T02:34:47.000Z (5 months ago)
- Last Synced: 2024-07-19T11:04:14.867Z (5 months ago)
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Temporal Analysis of Pallidus MR1 Data
This project was conducted for [KravitzLab](https://kravitzlab.com/), focusing on the activity tracking data of subjects over time. The analysis involves identifying temporal patterns, testing hypotheses, and comparing day versus night activity levels.
### Project Dependencies
The project was developed using Python with libraries such as
- `Pandas` for data manipulation.
- `scipy` for statistical analysis.
- `Plotly` for interactive visualizations
- `Streamlit` for building the web app.
### Getting Started
Follow these instructions to set up your environment and run the app locally.
#### Prerequisites
- Python 3.7+
- pip
#### Setup
1. Clone the repository.
2. Create and activate a virtual environment.
```
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
3. Install the required packages.
```
pip install -r requirements.txt
```
4. Run the Streamlit app
```
streamlit run dashboard.py
```
### Usage
- Upload Data: Use the sidebar to upload your MR1 activity data in Excel format.
- Select Analysis Options: Choose the type of analysis you want to perform from the horizontal menu.
- View Results: Interactive charts and tables will be displayed based on your selections.
- Download Summary: Download the generated summaries as an Excel file.
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