American Psychological Association 6th edition

Miettinen, T. [ca. 2022]. Machine learning and pathway analysis-based discovery of metabolomic markers relating to chronic pain phenotypes. In International Journal of Molecular Sciences [Cd]. Basel: MDPI. https://doi.org/10.3390 jms23095085

ISO-690 (author-date, English)

MIETTINEN, Teemu, 2022. Machine learning and pathway analysis-based discovery of metabolomic markers relating to chronic pain phenotypes. Basel: MDPI.

Modern Language Association 9th edition

Miettinen, T. „Machine learning and pathway analysis-based discovery of metabolomic markers relating to chronic pain phenotypes“. International Journal of Molecular Sciences, cd, MDPI, 2022, https://doi.org/10.3390 jms23095085.

Mohr Siebeck - Recht (Deutsch - Österreich)

Miettinen, Teemu: Machine learning and pathway analysis-based discovery of metabolomic markers relating to chronic pain phenotypes, Basel 2022.

Emerald - Harvard

Miettinen, T. (2022), Machine learning and pathway analysis-based discovery of metabolomic markers relating to chronic pain phenotypes, International Journal of Molecular Sciences, Bd. , MDPI, Basel, verfügbar unter:https://doi.org/10.3390 jms23095085.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.