Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade.
- DOI
- 10.1111/cyt.13226
- Published
- 2023-03-20
- Container
- Cytopathology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1111/cyt.13226,
title = {Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade.},
author = {Röbeck P and Franzén B and Cantera-Ahlman R and Dragomir A and Auer G and Jorulf H and Jacobsson SP and Viktorsson K and Lewensohn R and Häggman M and Ladjevardi S.},
year = {2023},
journal = {Cytopathology},
doi = {10.1111/cyt.13226},
url = {https://doi.org/10.1111/cyt.13226}
}RIS
TY - JOUR TI - Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade. AU - Röbeck P AU - Franzén B AU - Cantera-Ahlman R AU - Dragomir A AU - Auer G AU - Jorulf H AU - Jacobsson SP AU - Viktorsson K AU - Lewensohn R AU - Häggman M AU - Ladjevardi S. PY - 2023 JO - Cytopathology DO - 10.1111/cyt.13226 UR - https://doi.org/10.1111/cyt.13226 ER -
APA
P, R., B, F., R, C., A, D., G, A., H, J., SP, J., K, V., R, L., M, H., & S., L. (2023). Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade.. Cytopathology. https://doi.org/10.1111/cyt.13226
Source records
- europe-pmc · retrieved 2026-09-27T18:27:45.827Z