Đorđe Klisura

Ph.D. Candidate in Information Technology

A mass spectrometry metabolomics-based machine learning approach for biomarker prediction of Lyme neuroborreliosis


Journal article


Ilari Kuukkanen, Leo Lahti, Muluh Geraldson, Đorđe Klisura, Elisa Kortela, Annukka Pietikäinen, Jukka Hytönen, Maarit Karonen
2025

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Cite

APA   Click to copy
Kuukkanen, I., Lahti, L., Geraldson, M., Klisura, Đ., Kortela, E., Pietikäinen, A., … Karonen, M. (2025). A mass spectrometry metabolomics-based machine learning approach for biomarker prediction of Lyme neuroborreliosis.


Chicago/Turabian   Click to copy
Kuukkanen, Ilari, Leo Lahti, Muluh Geraldson, Đorđe Klisura, Elisa Kortela, Annukka Pietikäinen, Jukka Hytönen, and Maarit Karonen. “A Mass Spectrometry Metabolomics-Based Machine Learning Approach for Biomarker Prediction of Lyme Neuroborreliosis” (2025).


MLA   Click to copy
Kuukkanen, Ilari, et al. A Mass Spectrometry Metabolomics-Based Machine Learning Approach for Biomarker Prediction of Lyme Neuroborreliosis. 2025.


BibTeX   Click to copy

@article{ilari2025a,
  title = {A mass spectrometry metabolomics-based machine learning approach for biomarker prediction of Lyme neuroborreliosis},
  year = {2025},
  author = {Kuukkanen, Ilari and Lahti, Leo and Geraldson, Muluh and Klisura, Đorđe and Kortela, Elisa and Pietikäinen, Annukka and Hytönen, Jukka and Karonen, Maarit}
}


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