Silvana Ilie A

The paper introduces an efficient implicit tau-leaping method to estimate second-order sensitivities of stiff stochastic biochemical systems, achieving comparable accuracy with reduced computational cost.

The paper introduces a finite-difference method for estimating second-order parametric sensitivities in stochastic biochemical models using adaptive tau-leaping and perturbed process coupling.

The paper introduces a new amino acid similarity scoring method, E-score, based on contextual embeddings from deep learning, showing improved alignment quality compared to BLOSUM matrices.