Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart Disease.
- DOI
- 10.3390/ijms27167413
- Published
- 2026 Aug 19
- Container
- International journal of molecular sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ijms27167413,
title = {Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart Disease.},
author = {Yang H and Zhang Y and Yu Y and Bai Y and Zhu J and Chen O and Wang L and Jian W},
year = {2026},
journal = {International journal of molecular sciences},
doi = {10.3390/ijms27167413},
url = {https://doi.org/10.3390/ijms27167413}
}RIS
TY - JOUR TI - Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart Disease. AU - Yang H AU - Zhang Y AU - Yu Y AU - Bai Y AU - Zhu J AU - Chen O AU - Wang L AU - Jian W PY - 2026 JO - International journal of molecular sciences DO - 10.3390/ijms27167413 UR - https://doi.org/10.3390/ijms27167413 ER -
APA
H, Y., Y, Z., Y, Y., Y, B., J, Z., O, C., L, W., & W, J. (2026). Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart Disease.. International journal of molecular sciences. https://doi.org/10.3390/ijms27167413
Source records
- pubmed · retrieved 2026-09-25T08:03:54.110Z