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Hybrid Quantum-Classical Genomics Knowledge Graph Model using Google Cirq. Integrates Variational Quantum Circuits (VQC) and the Dynamic Mixture of Recursions (MoR) paradigm with classical Deep Learning to analyze complex genomic structures and expression data.
BioMoR: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble An R package for advanced bioinformatics predictive modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensembles. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimisation.