APA (7th ed.) Citation

An, X., Zeng, X., Yi, Z., Cao, M., Wang, Y., Yu, W., . . . Ren, Z. Integrative bioinformatics and machine learning identify iron metabolism genes MAP4, GPT, and HIRIP3 as diagnostic biomarkers and therapeutic targets in Alzheimer’s disease. Frontiers Media S.A.

Chicago Style (17th ed.) Citation

An, Xiaoqiong, Xiangguang Zeng, Zhenzhen Yi, Manni Cao, Yijia Wang, Wenfeng Yu, Wenfeng Yu, Zhenkui Ren, and Zhenkui Ren. Integrative Bioinformatics and Machine Learning Identify Iron Metabolism Genes MAP4, GPT, and HIRIP3 as Diagnostic Biomarkers and Therapeutic Targets in Alzheimer’s Disease. Frontiers Media S.A.

MLA (9th ed.) Citation

An, Xiaoqiong, et al. Integrative Bioinformatics and Machine Learning Identify Iron Metabolism Genes MAP4, GPT, and HIRIP3 as Diagnostic Biomarkers and Therapeutic Targets in Alzheimer’s Disease. Frontiers Media S.A.