Mitchell, J. M., Chi, Y., Thapa, M., Pang, Z., Xia, J., & Li, S. (2024). Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline. PLoS Computational Biology, 20(6), 1. https://doi.org/10.1371/journal.pcbi.1011912
Chicago Style (17th ed.) CitationMitchell, Joshua M., Yuanye Chi, Maheshwor Thapa, Zhiqiang Pang, Jianguo Xia, and Shuzhao Li. "Common Data Models to Streamline Metabolomics Processing and Annotation, and Implementation in a Python Pipeline." PLoS Computational Biology 20, no. 6 (2024): 1. https://doi.org/10.1371/journal.pcbi.1011912.
MLA (9th ed.) CitationMitchell, Joshua M., et al. "Common Data Models to Streamline Metabolomics Processing and Annotation, and Implementation in a Python Pipeline." PLoS Computational Biology, vol. 20, no. 6, 2024, p. 1, https://doi.org/10.1371/journal.pcbi.1011912.