Interleukin pathway genotype and the grandiosity dimension of psychosis: a machine learning gene set analysis with unsupervised anomaly detection controls.

Brzezicki MA, Zakowicz PT, Kapelski P, Wilkość-Dębczyńska M, Rajewska-Rager A, Skibińska M

Open source

DOI
10.3389/fimmu.2026.1936750
Published
2026
Container
Frontiers in immunology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fimmu.2026.1936750,
  title = {Interleukin pathway genotype and the grandiosity dimension of psychosis: a machine learning gene set analysis with unsupervised anomaly detection controls.},
  author = {Brzezicki MA and Zakowicz PT and Kapelski P and Wilkość-Dębczyńska M and Rajewska-Rager A and Skibińska M},
  year = {2026},
  journal = {Frontiers in immunology},
  doi = {10.3389/fimmu.2026.1936750},
  url = {https://doi.org/10.3389/fimmu.2026.1936750}
}

RIS

TY  - JOUR
TI  - Interleukin pathway genotype and the grandiosity dimension of psychosis: a machine learning gene set analysis with unsupervised anomaly detection controls.
AU  - Brzezicki MA
AU  - Zakowicz PT
AU  - Kapelski P
AU  - Wilkość-Dębczyńska M
AU  - Rajewska-Rager A
AU  - Skibińska M
PY  - 2026
JO  - Frontiers in immunology
DO  - 10.3389/fimmu.2026.1936750
UR  - https://doi.org/10.3389/fimmu.2026.1936750
ER  - 

APA

MA, B., PT, Z., P, K., M, W., A, R., & M, S. (2026). Interleukin pathway genotype and the grandiosity dimension of psychosis: a machine learning gene set analysis with unsupervised anomaly detection controls.. Frontiers in immunology. https://doi.org/10.3389/fimmu.2026.1936750

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