Peterlanhao/A-Machine-Learning-Approach-to-Diagnose-Chromosomal-Copy-Number-Variations: v0.22

v0.22 - Zenodo publish Changes Zenodo publish v0.21 - PCA update Changes Optimizing the code for interpretable models v0.2 - Code Documentation & README Enhancement Changes Added English module-level docstrings to all Python scripts (.py) Added descriptive Markdown cells to Jupyter notebooks (.ipynb) Renamed "Model Weights" section to "Data and Model Availability" in both READMEs, clarifying that training/test data and pre-trained model weights are available from the corresponding author upon reasonable request v0.11 - Readme Update Changes Added Chinese version of README (README_CN.md) Updated project documentation Initial Release This is the first official release of the ensemble machine learning framework for diagnosing chromosomal copy number variations (CNVs) in hematological malignancies.