Lötsch, J., Mustonen, L., Harno, H., & Kalso, E. [ca. 2022]. Machine-learning analysis of serum proteomics in neuropathic pain after nerve injury in breast cancer surgery points at chemokine signaling via SIRT2 regulation. In International Journal of Molecular Sciences [Cd]. Basel: MDPI. https://doi.org/10.3390 jms23073488
ISO-690 (author-date, English)LÖTSCH, Jörn, MUSTONEN, Laura, HARNO, Hanna und KALSO, Eija, 2022. Machine-learning analysis of serum proteomics in neuropathic pain after nerve injury in breast cancer surgery points at chemokine signaling via SIRT2 regulation. Basel: MDPI.
Modern Language Association 9th editionLötsch, J., L. Mustonen, H. Harno, und E. Kalso. „Machine-learning analysis of serum proteomics in neuropathic pain after nerve injury in breast cancer surgery points at chemokine signaling via SIRT2 regulation“. International Journal of Molecular Sciences, cd, MDPI, 2022, https://doi.org/10.3390 jms23073488.
Mohr Siebeck - Recht (Deutsch - Österreich)Lötsch, Jörn/Mustonen, Laura/Harno, Hanna/Kalso, Eija: Machine-learning analysis of serum proteomics in neuropathic pain after nerve injury in breast cancer surgery points at chemokine signaling via SIRT2 regulation, Basel 2022.
Emerald - HarvardLötsch, J., Mustonen, L., Harno, H. und Kalso, E. (2022), Machine-learning analysis of serum proteomics in neuropathic pain after nerve injury in breast cancer surgery points at chemokine signaling via SIRT2 regulation, International Journal of Molecular Sciences, Bd. , MDPI, Basel, verfügbar unter:https://doi.org/10.3390 jms23073488.