Understanding Cancer Risk though Metabolomic Profiles in the EPIC Cohort : a Machine Learning Approach

Marie Breeur

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DOI: 10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8
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Publisher: Agence Bibliographique de l'Enseignement Supérieur
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Cite this work

BibTeX

@article{allodium:10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8,
  title = {Understanding Cancer Risk though Metabolomic Profiles in the EPIC Cohort : a Machine Learning Approach},
  author = {Marie Breeur},
  doi = {10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8},
  url = {https://doi.org/10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8}
}

RIS

TY  - JOUR
TI  - Understanding Cancer Risk though Metabolomic Profiles in the EPIC Cohort : a Machine Learning Approach
AU  - Marie Breeur
DO  - 10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8
UR  - https://doi.org/10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8
ER  -

APA

Breeur, M. (n.d.). Understanding Cancer Risk though Metabolomic Profiles in the EPIC Cohort : a Machine Learning Approach. https://doi.org/10.70675/a3b3df27zb768z4ca1z9bb1z43a1a738f3e8

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crossref · retrieved 2026-11-10T20:02:42.351Z