The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
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.
- Downloads last month
- 7