MEDomicsLab-1.5.0

MEDomicsLab v1.5.0 Release Notes

We’re excited to announce the release of MEDomicsLab v1.5.0! This update introduces a new code editor, enabling users to edit there files directly within the platform.

• For more details on the code editor, refer to issue #395
• This release also fixes conflicts encountered during the installation of the Python environment.

For questions or support, feel free to reach out through issues or use our contact form.

Thank you for using MEDomicsLab, and we look forward to hearing your thoughts on this release!

MEDomicsLab-1.4.0

MEDomicsLab v1.4.0 Release Notes

We’re excited to announce the release of MEDomicsLab v1.4.0! This update introduces a new feature to streamline your data preprocessing workflows.

New Tool: Categorical-to-Numerical Column Conversion:

• A new tool has been added to convert categorical columns in your dataset into numerical representations.
• For more details, refer to issue #12.

For questions or support, feel free to reach out through issues or use our contact form.

Thank you for using MEDomicsLab, and we look forward to hearing your thoughts on this release!

MEDomicsLab-1.3.0

MEDomicsLab v1.3.0 is HERE.

This release includes a major fix across the app relating to the use of big CSV files (over 16mb), whether to visualize, edit or use in a module. Therefore, users are now able to use files over 16mb across MEDomicsLab (More details -> #402).

For questions or support, feel free to reach out through issues or use our contact form.

MEDomicsLab-1.2.0

MEDomicsLab V1.2.0 is now released. This release includes a new tool:

• Row tagging feature (More details -> #401).

For questions or support, feel free to reach out through issues or use our contact form.

MEDomicsLab-1.1.0

MEDomicsLab v1.1.0

We are thrilled to announce that MEDomicsLab V1.1.0 is now released. This release includes a new tool with several fixes and improvements. More details below.

Major Feature:

• New tool to drop duplicates from database #227

Fixes and improvements.

• Progress/Loading spinner missing in several tools #389.
• Detailed Summary type in Dashboard - #269.
• Issue with missing local files in directory tree.
• Cannot see nor open images saved from the learning module results #397

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For questions or support, feel free to reach out through issues or use our contact form.

1.0.2

Merge pull request #387 from MEDomics-UdeS/MacOSHotFix

MacOS V1.0.0 Fix

1.0.1

Merge pull request #387 from MEDomics-UdeS/MacOSHotFix

MacOS V1.0.0 Fix

MEDomicsLab-1.0.0

🎉 MEDomicsLab v1.0.0 - First Official Release 🚀

We are thrilled to announce the first official release of MEDomicsLab, a new platform designed to bridge the gap between clinical research and computational sciences. This release marks a major milestone in our mission to empower clinical researchers, and computer scientists to better work together in modeling heterogeneous medical data.

🌟 Key Features in v1.0.0:

• Integrated Medical Data Analysis: Support for heterogeneous data types, including tabular, omics, imaging, and text-based datasets.
• Graphical Pipeline Builder: Create, visualize, and manage machine learning pipelines with an intuitive graphical interface.
• Automated Python Code Generation: Transform graphical pipelines into fully functional Python code for further customization.
• State-of-the-Art Models: Built-in tools for model training, evaluation, and analysis of clinical datasets.
• User-Friendly Design: A sleek, intuitive interface designed for researchers and non-technical users alike.

🌐 Resources:

• Website: Explore more about MEDomicsLab and its features on our official website.
• Documentation: Get started with detailed installation and usage instructions in our documentation.
• YouTube Tutorials: Learn how to use MEDomicsLab with our step-by-step video tutorials on YouTube.
• Discord Server: Get get real-time support, share insights, and connect with fellow users and developers in our vibrant Community Hub.
• GitHub Repository: Access the source code and contribute to our growing community on GitHub.

📥 Download:

MEDomicsLab is available for Windows, Linux, and Mac. Download the latest release in the Assets section below.

🚀 Get Involved:

MEDomicsLab is open source! We welcome your contributions, ideas, and feedback to improve the platform. Check out our Contributing Guide to get started.

Let’s revolutionize omics research together! 💡

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For questions or support, feel free to reach out through issues or use our contact form.

MEDomicsLab-0.0.5-prealpha

MEDomicsLab-0.0.5-prealpha
This is a full release of MEDomicsLab. This release includes the MEDomicsLab application and the Python environment.
Refer to the Documentation
refs/tags/v0.0.5-prealpha

MEDomicsLab-0.0.4-prealpha

MEDomicsLab-0.0.4-prealpha
This is a full release of MEDomicsLab. This release includes the MEDomicsLab application and the Python environment.
Refer to the Documentation
refs/tags/v0.0.4-prealpha