Identification of Potential Biomarkers Associated with Impaired Fatty Acid Oxidation in Aged Skeletal Muscle Using Bioinformatics and Machine Learning Approaches.
- DOI
- 10.3390/biom16071030
- Published
- 2026 Jul 14
- Container
- Biomolecules
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/biom16071030,
title = {Identification of Potential Biomarkers Associated with Impaired Fatty Acid Oxidation in Aged Skeletal Muscle Using Bioinformatics and Machine Learning Approaches.},
author = {Gao H and Yang F and Wu J and Ji M and Ma X and Zhu D and Zhao L and Xiao W},
year = {2026},
journal = {Biomolecules},
doi = {10.3390/biom16071030},
url = {https://doi.org/10.3390/biom16071030}
}RIS
TY - JOUR TI - Identification of Potential Biomarkers Associated with Impaired Fatty Acid Oxidation in Aged Skeletal Muscle Using Bioinformatics and Machine Learning Approaches. AU - Gao H AU - Yang F AU - Wu J AU - Ji M AU - Ma X AU - Zhu D AU - Zhao L AU - Xiao W PY - 2026 JO - Biomolecules DO - 10.3390/biom16071030 UR - https://doi.org/10.3390/biom16071030 ER -
APA
H, G., F, Y., J, W., M, J., X, M., D, Z., L, Z., & W, X. (2026). Identification of Potential Biomarkers Associated with Impaired Fatty Acid Oxidation in Aged Skeletal Muscle Using Bioinformatics and Machine Learning Approaches.. Biomolecules. https://doi.org/10.3390/biom16071030
Source records
- pubmed · retrieved 2026-09-26T19:37:49.069Z