| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/HeinonenOMWKRL19 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTZ315 |
| P932 | PMC publication ID | 6612884 |
| P698 | PubMed publication ID | 31510676 |
| P50 | author | Juho Rousu | Q59677352 |
| Samuel Kaski | Q23039810 | ||
| P2093 | author name string | Henrik Mannerström | |
| Harri Lähdesmäki | |||
| Janne Wallenius | |||
| Maria Osmala | |||
| Markus Heinonen | |||
| P2860 | cites work | Inference from Iterative Simulation Using Multiple Sequences | Q56172083 |
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| The effects of alternate optimal solutions in constraint-based genome-scale metabolic models | Q29616019 | ||
| CBFA: phenotype prediction integrating metabolic models with constraints derived from experimental data | Q30873905 | ||
| Connecting extracellular metabolomic measurements to intracellular flux states in yeast | Q33422147 | ||
| A possibilistic framework for constraint-based metabolic flux analysis | Q33489026 | ||
| Computationally efficient flux variability analysis | Q33709846 | ||
| CHRR: coordinate hit-and-run with rounding for uniform sampling of constraint-based models. | Q33735418 | ||
| P275 | copyright license | Creative Commons Attribution-NonCommercial 4.0 International | Q34179348 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 14 | |
| P921 | main subject | flux | Q5463013 |
| P304 | page(s) | i548-i557 | |
| P577 | publication date | 2019-07-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | Bayesian metabolic flux analysis reveals intracellular flux couplings | |
| P478 | volume | 35 |
| Q96836813 | A comparison of Monte Carlo sampling methods for metabolic network models |
| Q114870943 | Addressing uncertainty in genome-scale metabolic model reconstruction and analysis |
| Q64064531 | Designing Metabolic Division of Labor in Microbial Communities |
| Q100523298 | HOPS: high-performance library for (non-)uniform sampling of convex-constrained models |
| Q104108689 | Low Entropy Sub-Networks Prevent the Integration of Metabolomic and Transcriptomic Data |
| Q112564588 | Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism |
| Q115017880 | Predictive evolution of metabolic phenotypes using model‐designed environments |
| Q113293450 | mfapy: An open-source Python package for 13C-based metabolic flux analysis |
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