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Zenodo
2026
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| Online-Zugang: | https://doi.org/10.5281/zenodo.19984812 |
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| _version_ | 1866901652016988160 |
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| author | Daxlia |
| author_facet | Daxlia |
| contents | <h3>Release v1.0.0</h3> <p>First stable release of RéseauFlux.</p> <p><strong>What it does:</strong> ML pipeline to rank metabolic interventions (KO, OE, down) for succinate production in E. coli iJO1366.</p> <p><strong>Key results:</strong></p> <blockquote> <p>Best single: ATPS4rpp KO → 16.38 mmol/gDW/h Best double: ATPM KO + O2tex KO → 16.80 mmol/gDW/h GBR cross‑validation ρ = 0.557 Holdout ρ = 0.602</p> </blockquote> <h3>Includes:</h3> <blockquote> <p>Source code (metabolic_ml_pipeline.py) README, license</p> </blockquote> <p><strong>Run: <code>python metabolic_ml_pipeline.py</code></strong></p> <p><strong>Full Changelog</strong>: https://github.com/Daxlia/ReseauFlux/commits/v1.0.0</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19984812 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Daxlia/ReseauFlux: v1.0.0 Daxlia <h3>Release v1.0.0</h3> <p>First stable release of RéseauFlux.</p> <p><strong>What it does:</strong> ML pipeline to rank metabolic interventions (KO, OE, down) for succinate production in E. coli iJO1366.</p> <p><strong>Key results:</strong></p> <blockquote> <p>Best single: ATPS4rpp KO → 16.38 mmol/gDW/h Best double: ATPM KO + O2tex KO → 16.80 mmol/gDW/h GBR cross‑validation ρ = 0.557 Holdout ρ = 0.602</p> </blockquote> <h3>Includes:</h3> <blockquote> <p>Source code (metabolic_ml_pipeline.py) README, license</p> </blockquote> <p><strong>Run: <code>python metabolic_ml_pipeline.py</code></strong></p> <p><strong>Full Changelog</strong>: https://github.com/Daxlia/ReseauFlux/commits/v1.0.0</p> |
| title | Daxlia/ReseauFlux: v1.0.0 |
| url | https://doi.org/10.5281/zenodo.19984812 |