Comparison of QSAR models based on combinations of genetic algorithm, stepwise multiple linear regression, and artificial neural network methods to predict Kd of some derivatives of aromatic sulfonamides as carbonic anhydrase II inhibitors.

MLA

Maleki, Afshin, et al. “Comparison of QSAR Models Based on Combinations of Genetic Algorithm, Stepwise Multiple Linear Regression, and Artificial Neural Network Methods to Predict Kd of Some Derivatives of Aromatic Sulfonamides as Carbonic Anhydrase II Inhibitors.” Bioorganicheskaia Khimiia, vol. 40, no. 1, Jan. 2014, pp. 70–84. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=cmedm&AN=25898725&authtype=sso&custid=ns315887.

APA

Maleki, A., Daraei, H., Alaei, L., & Faraji, A. (2014). Comparison of QSAR models based on combinations of genetic algorithm, stepwise multiple linear regression, and artificial neural network methods to predict Kd of some derivatives of aromatic sulfonamides as carbonic anhydrase II inhibitors. Bioorganicheskaia Khimiia, 40(1), 70–84.

Chicago

Maleki, Afshin, Hiua Daraei, Loghman Alaei, and Aram Faraji. 2014. “Comparison of QSAR Models Based on Combinations of Genetic Algorithm, Stepwise Multiple Linear Regression, and Artificial Neural Network Methods to Predict Kd of Some Derivatives of Aromatic Sulfonamides as Carbonic Anhydrase II Inhibitors.” Bioorganicheskaia Khimiia 40 (1): 70–84. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=cmedm&AN=25898725&authtype=sso&custid=ns315887.