Identifying potential targets in endothelial to mesenchymal transition-mediated atherosclerosis using bioinformatics and machine learning

Zhengjun Hou, Sihan Chen, Yuliang Cui, Qinfeng Ma, Jiandong Chen, Kunxian Shu

Open source

DOI
10.7717/peerj.21863
Published
2026-11-03
Container
PeerJ
Publisher
PeerJ
Open access
unknown

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BibTeX

@article{allodium:10.7717/peerj.21863,
  title = {Identifying potential targets in endothelial to mesenchymal transition-mediated atherosclerosis using bioinformatics and machine learning},
  author = {Zhengjun Hou and Sihan Chen and Yuliang Cui and Qinfeng Ma and Jiandong Chen and Kunxian Shu},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.21863},
  url = {https://doi.org/10.7717/peerj.21863}
}

RIS

TY  - JOUR
TI  - Identifying potential targets in endothelial to mesenchymal transition-mediated atherosclerosis using bioinformatics and machine learning
AU  - Zhengjun Hou
AU  - Sihan Chen
AU  - Yuliang Cui
AU  - Qinfeng Ma
AU  - Jiandong Chen
AU  - Kunxian Shu
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.21863
UR  - https://doi.org/10.7717/peerj.21863
ER  - 

APA

Hou, Z., Chen, S., Cui, Y., Ma, Q., Chen, J., & Shu, K. (2026). Identifying potential targets in endothelial to mesenchymal transition-mediated atherosclerosis using bioinformatics and machine learning. PeerJ. https://doi.org/10.7717/peerj.21863

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