Identification of Promising Candidate Genes and Immune Infiltration Patterns in Chronic Schistosomiasis-Associated Liver Injury by WGCNA and Machine Learning
- DOI
- 10.3390/pathogens15080806
- Published
- 2026-07-31
- Container
- Pathogens
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/pathogens15080806,
title = {Identification of Promising Candidate Genes and Immune Infiltration Patterns in Chronic Schistosomiasis-Associated Liver Injury by WGCNA and Machine Learning},
author = {Yinlong Li and Qin Li and Suying Guo and Shizhu Li and Jing Xu},
year = {2026},
journal = {Pathogens},
doi = {10.3390/pathogens15080806},
url = {https://doi.org/10.3390/pathogens15080806}
}RIS
TY - JOUR TI - Identification of Promising Candidate Genes and Immune Infiltration Patterns in Chronic Schistosomiasis-Associated Liver Injury by WGCNA and Machine Learning AU - Yinlong Li AU - Qin Li AU - Suying Guo AU - Shizhu Li AU - Jing Xu PY - 2026 JO - Pathogens DO - 10.3390/pathogens15080806 UR - https://doi.org/10.3390/pathogens15080806 ER -
APA
Li, Y., Li, Q., Guo, S., Li, S., & Xu, J. (2026). Identification of Promising Candidate Genes and Immune Infiltration Patterns in Chronic Schistosomiasis-Associated Liver Injury by WGCNA and Machine Learning. Pathogens. https://doi.org/10.3390/pathogens15080806
Source records
- crossref · retrieved 2026-09-24T19:44:14.260Z