Summary This release includes updates to the source code and documentation for a better understanding of the model's implementation. It specifically adds comprehensive notebooks for computational performance benchmarking and multi-study correction analysis. 📄 New Notebooks Performance Benchmarking and Fine-tuning example: Added docs/tutorial/report-performance.ipynb. Example using a simulated dataset on fine-tuning the loss weights with a small subset of the training data. Provides detailed evaluation of wall-clock running times and peak GPU memory usage. Multi-studies Case: Added docs/tutorial/demo-parkinson.ipynb. Demonstrates model performance on a composite of 9 studies dataset (merging multiple test cases). Validates the preservation of biological signals without adding biases in high-heterogeneity settings. Inflammatory Bowel Disease Case Study: Added docs/tutorial/tutorial-ibd.ipynb. Added the implementation of the Inflammatory Bowel Disease (IBD) case study as a tutorial notebook. Dealing with outlier training runs for analysis of problematic taxonomic groups. 🛠 Source Changes Fixed a bug that wasn't allowing the use of the VMM prior configuration at metaABaCo().