Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.
- DOI
- 10.1016/j.ijbiomac.2024.136961
- Published
- 2024 Dec
- Container
- International journal of biological macromolecules
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijbiomac.2024.136961,
title = {Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.},
author = {Sun K and Wu F and Zheng J and Wang H and Li H and Xie Z},
year = {2024},
journal = {International journal of biological macromolecules},
doi = {10.1016/j.ijbiomac.2024.136961},
url = {https://doi.org/10.1016/j.ijbiomac.2024.136961}
}RIS
TY - JOUR TI - Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis. AU - Sun K AU - Wu F AU - Zheng J AU - Wang H AU - Li H AU - Xie Z PY - 2024 JO - International journal of biological macromolecules DO - 10.1016/j.ijbiomac.2024.136961 UR - https://doi.org/10.1016/j.ijbiomac.2024.136961 ER -
APA
K, S., F, W., J, Z., H, W., H, L., & Z, X. (2024). Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.. International journal of biological macromolecules. https://doi.org/10.1016/j.ijbiomac.2024.136961
Source records
- pubmed · retrieved 2026-09-25T21:50:25.659Z