Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review.

Romano A, Rižner TL, Werner HMJ, Semczuk A, Lowy C, Schröder C, Griesbeck A, Adamski J, Fishman D, Tokarz J

Open source

DOI
10.3389/fonc.2023.1120178
Published
2023
Container
Frontiers in oncology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fonc.2023.1120178,
  title = {Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review.},
  author = {Romano A and Rižner TL and Werner HMJ and Semczuk A and Lowy C and Schröder C and Griesbeck A and Adamski J and Fishman D and Tokarz J},
  year = {2023},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2023.1120178},
  url = {https://doi.org/10.3389/fonc.2023.1120178}
}

RIS

TY  - JOUR
TI  - Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review.
AU  - Romano A
AU  - Rižner TL
AU  - Werner HMJ
AU  - Semczuk A
AU  - Lowy C
AU  - Schröder C
AU  - Griesbeck A
AU  - Adamski J
AU  - Fishman D
AU  - Tokarz J
PY  - 2023
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2023.1120178
UR  - https://doi.org/10.3389/fonc.2023.1120178
ER  - 

APA

A, R., TL, R., HMJ, W., A, S., C, L., C, S., A, G., J, A., D, F., & J, T. (2023). Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review.. Frontiers in oncology. https://doi.org/10.3389/fonc.2023.1120178

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