Welcome to our engaging walk-through of the **Deep Review**, a collaborative review article focusing on deep learning applications in precision medicine. Utilizing the power of Manubot on GitHub, this project invites anyone interested to contribute and shape the future of healthcare research. In this blog, you’ll discover how to navigate this repository seamlessly, contribute your insights, and troubleshoot any issues you may encounter.

Understanding the Deep Review

The **Deep Review** is not just another article; it represents the collective wisdom of contributors aiming to enrich our understanding of deep learning’s role in precision medicine. First published in 2018, this review has evolved, and we are now preparing for version 2.0, an exciting update that invites new contributors to join the project.

Getting Started with Your Contribution

Here’s how you can get involved:

• Review the Manuscript Description: Familiarize yourself with what the Deep Review covers and its objectives.
• Check for Open Pull Requests: Visit the open pull requests to see ongoing contributions.
• Explore Project Discussions: Keep up with issues for discussions and planning.
• Contribute your Ideas: Want to contribute? Refer to the CONTRIBUTING.md for guidelines on how to get started.

The Manubot Approach

Think of Manubot as a team-up between a chef and a sous-chef working in a bustling kitchen. Manubot helps authors manage citations and references seamlessly; as you add your ingredient (contribution), it ensures everything is set up perfectly for the final dish (the manuscript). It automatically updates sections, gathers all citations, and allows real-time collaboration, making it a powerful tool for a fluid writing experience.

Building the Manuscript Locally

If you prefer to view or edit the manuscript locally, here’s your guide:

• First, install the conda environment as instructed in the build directory.
• Activate the Manubot environment:

conda activate manubot

• Run the build command to generate the output:

bash build/build.sh

• Your HTML and PDF output files will be ready in the output directory.

Continuous Integration Magic

With continuous integration, every time a pull request is submitted, the system checks if anything breaks. This ensures a smooth flow in your collaboration efforts. If you face issues, analyze the CI logs to troubleshoot common errors.

Troubleshooting

If you encounter problems, here are some troubleshooting tips:

• Check if you’ve synced correctly with the upstream repository.
• Ensure your citations follow the new semicolon-separated format if you’re using the latest Manubot updates.
• Review the CI logs to identify specific errors during the build process.

For any additional assistance, explore more resources or report issues directly in the issues section. For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Thoughts

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Join the Journey!

Participating in the Deep Review not only enables you to contribute to a crucial area of study but also to learn and grow within a vibrant community of researchers and innovators. Join us in reshaping the landscape of precision medicine!