The following pages link to Ljubiša Mišković (Q1004120):
Displaying 20 items.
- Iterative minimization of \(H_2\) control performance criteria (Q1004121) (← links)
- Closed-loop identification of MIMO systems: a new look at identifiability and experiment design (Q2638168) (← links)
- Identification and the Information Matrix: How to Get Just Sufficiently Rich? (Q4974832) (← links)
- (Q5436802) (← links)
- Dataset - Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies (Q6702628) (← links)
- Supplementary dataset 1 - Constraint-based metabolic control analysis for rational strain engineering (Q6702633) (← links)
- Supplementary dataset 2 - Constraint-based metabolic control analysis for rational strain engineering (Q6702635) (← links)
- Supplementary dataset 3 - Constraint-based metabolic control analysis for rational strain engineering (Q6702637) (← links)
- Supplementary dataset 4 - Constraint-based metabolic control analysis for rational strain engineering (Q6702639) (← links)
- Supplementary dataset 5 - Constraint-based metabolic control analysis for rational strain engineering (Q6702641) (← links)
- Models and main dataset - Constraint-based metabolic control analysis for rational strain engineering (Q6702643) (← links)
- Dataset - A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics (Q6702648) (← links)
- Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, main part (Q6702662) (← links)
- Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, additional part 1 (Q6702666) (← links)
- Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, additional part 2 (Q6702668) (← links)
- Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 2 (Q6702675) (← links)
- Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 1 (Q6702678) (← links)
- Supplementary dataset for Enzyme promiscuous profiles for protein sequence and reaction annotation (Q6702685) (← links)
- Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 3 (Q6702690) (← links)
- Dataset - Uncertainty Reduction in Biochemical Kinetic Models: Enforcing Desired Model Properties (Q6702693) (← links)
