Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes

MLA

Fanqi Liang, et al. “Utilizing Integrated Bioinformatics and Machine Learning Approaches to Elucidate Biomarkers Linking Sepsis to Purine Metabolism-Associated Genes.” Scientific Reports, vol. 15, no. 1, Jan. 2025, pp. 1–18. EBSCOhost, https://doi.org/10.1038/s41598-024-82998-0.

APA

Fanqi Liang, Man Zheng, Jingjiu Lu, Peng Liu, & Xinyu Chen. (2025). Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes. Scientific Reports, 15(1), 1–18. https://doi.org/10.1038/s41598-024-82998-0

Chicago

Fanqi Liang, Man Zheng, Jingjiu Lu, Peng Liu, and Xinyu Chen. 2025. “Utilizing Integrated Bioinformatics and Machine Learning Approaches to Elucidate Biomarkers Linking Sepsis to Purine Metabolism-Associated Genes.” Scientific Reports 15 (1): 1–18. doi:10.1038/s41598-024-82998-0.