Transcriptomic and Machine Learning-Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data.

Li Y, Deng H, Gu Y

DOI: 10.1049/syb2.70058
Published: 2026 Jan-Dec
Container: IET systems biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1049/syb2.70058,
  title = {Transcriptomic and Machine Learning-Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data.},
  author = {Li Y and Deng H and Gu Y},
  year = {2026},
  journal = {IET systems biology},
  doi = {10.1049/syb2.70058},
  url = {https://doi.org/10.1049/syb2.70058}
}

RIS

TY  - JOUR
TI  - Transcriptomic and Machine Learning-Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data.
AU  - Li Y
AU  - Deng H
AU  - Gu Y
PY  - 2026
JO  - IET systems biology
DO  - 10.1049/syb2.70058
UR  - https://doi.org/10.1049/syb2.70058
ER  -

APA

Y, L., H, D., & Y, G. (2026). Transcriptomic and Machine Learning-Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data.. IET systems biology. https://doi.org/10.1049/syb2.70058

Source records

pubmed · retrieved 2026-09-25T15:27:14.927Z