Ovarian cancer is detectable from peripheral blood using machine learning over T cell repertoires

Zuckerbrot, Miriam, Aviel-Ronen, Sarit, Zilverberg, Alona, Efroni, Sol

Open source

DOI
10.5281/zenodo.10124700
Published
2023
Container
Not recorded
Publisher
Zenodo
Open access
no

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BibTeX

@article{allodium:10.5281/zenodo.10124700,
  title = {Ovarian cancer is detectable from peripheral blood using machine learning over T cell repertoires},
  author = {Zuckerbrot, Miriam and Aviel-Ronen, Sarit and Zilverberg, Alona and Efroni, Sol},
  year = {2023},
  doi = {10.5281/zenodo.10124700},
  url = {https://doi.org/10.5281/zenodo.10124700}
}

RIS

TY  - JOUR
TI  - Ovarian cancer is detectable from peripheral blood using machine learning over T cell repertoires
AU  - Zuckerbrot, Miriam
AU  - Aviel-Ronen, Sarit
AU  - Zilverberg, Alona
AU  - Efroni, Sol
PY  - 2023
DO  - 10.5281/zenodo.10124700
UR  - https://doi.org/10.5281/zenodo.10124700
ER  - 

APA

Miriam, Z., Sarit, A., Alona, Z., & Sol, E. (2023). Ovarian cancer is detectable from peripheral blood using machine learning over T cell repertoires. https://doi.org/10.5281/zenodo.10124700

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