Miettinen, T.; Nieminen, A.I.; Mäntyselkä, P.; Kalso, E.; Lötsch, J.
Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes. Int. J. Mol. Sci. 2022, 23, 5085.
https://doi.org/10.3390/ijms23095085
AMA Style
Miettinen T, Nieminen AI, Mäntyselkä P, Kalso E, Lötsch J.
Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes. International Journal of Molecular Sciences. 2022; 23(9):5085.
https://doi.org/10.3390/ijms23095085
Chicago/Turabian Style
Miettinen, Teemu, Anni I. Nieminen, Pekka Mäntyselkä, Eija Kalso, and Jörn Lötsch.
2022. "Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes" International Journal of Molecular Sciences 23, no. 9: 5085.
https://doi.org/10.3390/ijms23095085
APA Style
Miettinen, T., Nieminen, A. I., Mäntyselkä, P., Kalso, E., & Lötsch, J.
(2022). Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes. International Journal of Molecular Sciences, 23(9), 5085.
https://doi.org/10.3390/ijms23095085