Prediction of gastric cancer by machine learning integrated with mass spectrometry-based N-glycomics.

Demirhan DB, Yılmaz H, Erol H, Kayili HM, Salih B

DOI: 10.1039/d2an02057b
Published: 2023 May 2
Container: The Analyst
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d2an02057b,
  title = {Prediction of gastric cancer by machine learning integrated with mass spectrometry-based N-glycomics.},
  author = {Demirhan DB and Yılmaz H and Erol H and Kayili HM and Salih B},
  year = {2023},
  journal = {The Analyst},
  doi = {10.1039/d2an02057b},
  url = {https://doi.org/10.1039/d2an02057b}
}

RIS

TY  - JOUR
TI  - Prediction of gastric cancer by machine learning integrated with mass spectrometry-based N-glycomics.
AU  - Demirhan DB
AU  - Yılmaz H
AU  - Erol H
AU  - Kayili HM
AU  - Salih B
PY  - 2023
JO  - The Analyst
DO  - 10.1039/d2an02057b
UR  - https://doi.org/10.1039/d2an02057b
ER  -

APA

DB, D., H, Y., H, E., HM, K., & B, S. (2023). Prediction of gastric cancer by machine learning integrated with mass spectrometry-based N-glycomics.. The Analyst. https://doi.org/10.1039/d2an02057b

Source records

pubmed · retrieved 2026-09-26T17:28:30.810Z