Moukheiber, L.;                     Mangione, W.;                     Moukheiber, M.;                     Maleki, S.;                     Falls, Z.;                     Gao, M.;                     Samudrala, R.    
        Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology. Molecules 2022, 27, 3021.
    https://doi.org/10.3390/molecules27093021
    AMA Style
    
                                Moukheiber L,                                 Mangione W,                                 Moukheiber M,                                 Maleki S,                                 Falls Z,                                 Gao M,                                 Samudrala R.        
                Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology. Molecules. 2022; 27(9):3021.
        https://doi.org/10.3390/molecules27093021
    
    Chicago/Turabian Style
    
                                Moukheiber, Lama,                                 William Mangione,                                 Mira Moukheiber,                                 Saeed Maleki,                                 Zackary Falls,                                 Mingchen Gao,                                 and Ram Samudrala.        
                2022. "Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology" Molecules 27, no. 9: 3021.
        https://doi.org/10.3390/molecules27093021
    
    APA Style
    
                                Moukheiber, L.,                                 Mangione, W.,                                 Moukheiber, M.,                                 Maleki, S.,                                 Falls, Z.,                                 Gao, M.,                                 & Samudrala, R.        
        
        (2022). Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology. Molecules, 27(9), 3021.
        https://doi.org/10.3390/molecules27093021