Crossmark

Machine learning-based transcriptomic analysis identifies candidate genes in sepsis-induced coagulopathy and explores the immunomodulatory potential of baicalein

Crossref DOI link: https://doi.org/10.1186/s40246-025-00818-6

Published Online: 2025-08-31

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mu, Lifang

Zhang, Yuxue

Yuan, Tingting

Zhang, Dingshun

Liu, Zhifeng

Wu, Ming

Zhong, Li
Funding

Funding for this research was provided by:

The National Natural Science Foundation of China (82360903)
License Information

Text and Data Mining valid from 2025-08-31

Version of Record valid from 2025-08-31
More Information

Article History

Received: 20 June 2025

Accepted: 14 August 2025

First Online: 31 August 2025

Declarations

:

: This study was approved by the Research Ethics Committee of Guizhou University of Traditional Chinese Medicine (20230014).

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below