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Monitoring Progression of Scleroderma
Project Description
This is a website for visualising datasets to study protein expression in Scleroderma patients. The website is able to generate the following plots:
- Correlation Plot
- Boxplot
- UMAP plot
- Volcano plot
- Violin plot
Introduction
Scleroderma is an autoimmune disease that can cause thickened areas of skin and connective tissues. To gain a deeper understanding of this condition, analysing the expression of different proteins observed in Scleroderma patients is highly beneficial. This website utilizes a dataset to generate 4 graphs, enabling researchers to analyse results while requiring minimal bioinformatics expertise.
Features
Selecting Protein
Users can search for proteins using multiple naming conventions including:
- Protein Name
- Full Protein Name
- Entrez Gene ID
- Entrez Gene Symbol
Alternatively, users can utilize the volcano plot on the main page to select a protein by hovering over and clicking on the plot.
Volcano Plot
Correlation Plot
Box Plot
UMAP Plot
Violin Plot
Installation
- Clone the repository:
git clone https://github.com/ainiimura21/name1.git
- Install dependencies:
pip install numpy pandas matplotlib seaborn streamlit scanpy
Usage
To run the project, use the following command:
streamlit run app/main.py
Contributing
- Fork the repository.
- Create a new branch:
git checkout -b feature-name. - Make changes.
- Push your branch:
git push origin feature-name. - Create a pull request.
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