Korb, E.; Bağcıoğlu, M.; Garner-Spitzer, E.; Wiedermann, U.; Ehling-Schulz, M.; Schabussova, I.
Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans. Biomolecules 2020, 10, 1058.
https://doi.org/10.3390/biom10071058
AMA Style
Korb E, Bağcıoğlu M, Garner-Spitzer E, Wiedermann U, Ehling-Schulz M, Schabussova I.
Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans. Biomolecules. 2020; 10(7):1058.
https://doi.org/10.3390/biom10071058
Chicago/Turabian Style
Korb, Elke, Murat Bağcıoğlu, Erika Garner-Spitzer, Ursula Wiedermann, Monika Ehling-Schulz, and Irma Schabussova.
2020. "Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans" Biomolecules 10, no. 7: 1058.
https://doi.org/10.3390/biom10071058
APA Style
Korb, E., Bağcıoğlu, M., Garner-Spitzer, E., Wiedermann, U., Ehling-Schulz, M., & Schabussova, I.
(2020). Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans. Biomolecules, 10(7), 1058.
https://doi.org/10.3390/biom10071058