This work formulates molecular system inference as a multi-dataset integration task and applies the Matthews Correlation Coefficient–Recursive Ensemble Feature Selection algorithm to jointly analyze five independent transcriptomic datasets, illustrating how stable and interpretable molecular patterns can be identified...
B. Varga, M. Martínez-Archundia, L. Willemsen et al.· Frontiers in Systems Biology· 0 citations
This integrated molecular, single-nucleus, and electrophysiological characterization defines the cellular heterogeneity of DPSC-to-neuron reprogramming and provides a framework for protocol refinement and future patient-specific disease modeling.
Anna A. Abbas, Chandramouli Muralidharan, Bendegúz Sramkó et al.· bioRxiv· 0 citations
This work introduces Evolutionary Driven Bayesian Optimization (EA-BO), a surrogate-based framework designed for efficient exploration under strict evaluation budgets and demonstrates that EA-BO provides data-efficient strategy for locating promising docking regions when computational cost limit traditional approaches.
A. Lopez-Rincon, B. Varga, D. Rojas-Velazquez et al.· Annual Conference on Genetic...· 0 citations
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