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Axel Theorell

Showing results (1-10 of 11) with videos related to

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BMC Bioinformatics|June 22, 2023
Assumptions on decision making and environment can yield multiple steady states in microbial community modelsAxel Theorell, Jörg Stelling
Bioinformatics (Oxford, England)|June 20, 2019
Reversible jump MCMC for multi-model inference in Metabolic Flux AnalysisAxel Theorell, Katharina Nöh
Cell Systems|June 29, 2026
Scalable enumeration and sampling of minimal metabolic pathways for organisms and communitiesOve Øyås, Axel Theorell, Jörg Stelling
Biotechnology and Bioengineering|July 12, 2017
To be certain about the uncertainty: Bayesian statistics for <sup>13</sup> C metabolic flux analysisAxel Theorell, Samuel Leweke, Wolfgang Wiechert, et al.
Bioinformatics (Oxford, England)|September 6, 2018
When a single lineage is not enough: Uncertainty-Aware Tracking for spatio-temporal live-cell image analysisAxel Theorell, Johannes Seiffarth, Alexander Grünberger, et al.
Bioinformatics (Oxford, England)|October 12, 2020
HOPS: high-performance library for (non-)uniform sampling of convex-constrained modelsJohann F Jadebeck, Axel Theorell, Samuel Leweke, et al.
Bioinformatics (Oxford, England)|July 30, 2021
PolyRound: polytope rounding for random sampling in metabolic networksAxel Theorell, Johann F Jadebeck, Katharina Nöh, et al.
Metabolic Engineering|April 6, 2024
Rethinking <sup>13</sup>C-metabolic flux analysis - The Bayesian way of flux inferenceAxel Theorell, Johann F Jadebeck, Wolfgang Wiechert, et al.
Current Opinion in Microbiology|July 30, 2016
Current state and challenges for dynamic metabolic modelingEleni Vasilakou, Daniel Machado, Axel Theorell, et al.
Cell Reports|December 12, 2019
Intracellular Mycobacterium tuberculosis Exploits Multiple Host Nitrogen Sources during Growth in Human MacrophagesKhushboo Borah, Martin Beyß, Axel Theorell, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|June 22, 2023
Assumptions on decision making and environment can yield multiple steady states in microbial community modelsAxel Theorell, Jörg Stelling
Bioinformatics (Oxford, England)|June 20, 2019
Reversible jump MCMC for multi-model inference in Metabolic Flux AnalysisAxel Theorell, Katharina Nöh
Cell Systems|June 29, 2026
Scalable enumeration and sampling of minimal metabolic pathways for organisms and communitiesOve Øyås, Axel Theorell, Jörg Stelling
Biotechnology and Bioengineering|July 12, 2017
To be certain about the uncertainty: Bayesian statistics for <sup>13</sup> C metabolic flux analysisAxel Theorell, Samuel Leweke, Wolfgang Wiechert, et al.
Bioinformatics (Oxford, England)|September 6, 2018
When a single lineage is not enough: Uncertainty-Aware Tracking for spatio-temporal live-cell image analysisAxel Theorell, Johannes Seiffarth, Alexander Grünberger, et al.
Bioinformatics (Oxford, England)|October 12, 2020
HOPS: high-performance library for (non-)uniform sampling of convex-constrained modelsJohann F Jadebeck, Axel Theorell, Samuel Leweke, et al.
Bioinformatics (Oxford, England)|July 30, 2021
PolyRound: polytope rounding for random sampling in metabolic networksAxel Theorell, Johann F Jadebeck, Katharina Nöh, et al.
Metabolic Engineering|April 6, 2024
Rethinking <sup>13</sup>C-metabolic flux analysis - The Bayesian way of flux inferenceAxel Theorell, Johann F Jadebeck, Wolfgang Wiechert, et al.
Current Opinion in Microbiology|July 30, 2016
Current state and challenges for dynamic metabolic modelingEleni Vasilakou, Daniel Machado, Axel Theorell, et al.
Cell Reports|December 12, 2019
Intracellular Mycobacterium tuberculosis Exploits Multiple Host Nitrogen Sources during Growth in Human MacrophagesKhushboo Borah, Martin Beyß, Axel Theorell, et al.
Pageof 2