AlirezaRahi/Genomic-Classification-of-Acute-Lymphoblastic-Leukemia-Using-AI-Towards-Personalized-Medicine: First stable release

Release Notes: Initial public release of the code and models used for the study: Genomic Classification of Acute Lymphoblastic Leukemia Using AI: Towards Personalized Medicine. Includes data preprocessing, feature extraction, model training scripts (CNN, LSTM, Dense), and ensemble meta-learner implementation.

Release Description: This release provides the complete codebase supporting the study on AI-driven genomic classification of acute lymphoblastic leukemia subtypes. All scripts are fully documented to allow reproducibility of results, including data preprocessing, feature selection, deep learning model training, meta-learner integration, and evaluation metrics calculation. The release is intended for researchers and practitioners in computational biology, bioinformatics, and medical AI.