scholarly article | Q13442814 |
P819 | ADS bibcode | 2014PLoSO...986587M |
P356 | DOI | 10.1371/JOURNAL.PONE.0086587 |
P932 | PMC publication ID | 3925089 |
P698 | PubMed publication ID | 24551039 |
P5875 | ResearchGate publication ID | 260254555 |
P50 | author | Martijn A Huynen | Q54900907 |
P2093 | author name string | Elena Marchiori | |
Wout Megchelenbrink | |||
P2860 | cites work | Inference from Iterative Simulation Using Multiple Sequences | Q56172083 |
Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review | Q56172084 | ||
Efficient Monte Carlo Procedures for Generating Points Uniformly Distributed over Bounded Regions | Q56172085 | ||
REVISITING A 90-YEAR-OLD DEBATE: THE ADVANTAGES OF THE MEAN DEVIATION | Q58460638 | ||
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions | Q21284353 | ||
Network-based analysis of metabolic regulation in the human red blood cell | Q28212164 | ||
The effects of alternate optimal solutions in constraint-based genome-scale metabolic models | Q29616019 | ||
Advances in flux balance analysis | Q33973453 | ||
Use of randomized sampling for analysis of metabolic networks | Q37305068 | ||
Metabolic flux elucidation for large-scale models using 13C labeled isotopes | Q41918100 | ||
Flux balance analysis of biological systems: applications and challenges. | Q43740877 | ||
Monte Carlo sampling can be used to determine the size and shape of the steady-state flux space | Q47417801 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | metabolic network | Q2263094 |
P304 | page(s) | e86587 | |
P577 | publication date | 2014-02-14 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | optGpSampler: an improved tool for uniformly sampling the solution-space of genome-scale metabolic networks | |
P478 | volume | 9 |
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