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Lovrić M, Wang T, Staffe MR, Šunić I, Časni K, Lasky-Su J, Chawes B, Rasmussen MA. A Chemical Structure and Machine Learning Approach to Assess the Potential Bioactivity of Endogenous Metabolites and Their Association with Early Childhood Systemic Inflammation. Metabolites. 2024; 14(5):278. https://doi.org/10.3390/metabo14050278

Lovrić, Mario, Tingting Wang, Mads Rønnow Staffe, Iva Šunić, Kristina Časni, Jessica Lasky-Su, Bo Chawes, and Morten Arendt Rasmussen. 2024. "A Chemical Structure and Machine Learning Approach to Assess the Potential Bioactivity of Endogenous Metabolites and Their Association with Early Childhood Systemic Inflammation" Metabolites 14, no. 5: 278. https://doi.org/10.3390/metabo14050278

Lovrić, M., Wang, T., Staffe, M. R., Šunić, I., Časni, K., Lasky-Su, J., Chawes, B., & Rasmussen, M. A. (2024). A Chemical Structure and Machine Learning Approach to Assess the Potential Bioactivity of Endogenous Metabolites and Their Association with Early Childhood Systemic Inflammation. Metabolites, 14(5), 278. https://doi.org/10.3390/metabo14050278