Cite
The Relative Importance of Domain Applicability Metrics for Estimating Prediction Errors in QSAR Varies with Training Set Diversity
MLA
Robert P. Sheridan. “The Relative Importance of Domain Applicability Metrics for Estimating Prediction Errors in QSAR Varies with Training Set Diversity.” Journal of Chemical Information and Modeling, vol. 55, June 2015, pp. 1098–107. 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=edsair&AN=edsair.doi.dedup.....97226d2c1376467d55e2228d1a639147&authtype=sso&custid=ns315887.
APA
Robert P. Sheridan. (2015). The Relative Importance of Domain Applicability Metrics for Estimating Prediction Errors in QSAR Varies with Training Set Diversity. Journal of Chemical Information and Modeling, 55, 1098–1107.
Chicago
Robert P. Sheridan. 2015. “The Relative Importance of Domain Applicability Metrics for Estimating Prediction Errors in QSAR Varies with Training Set Diversity.” Journal of Chemical Information and Modeling 55 (June): 1098–1107. 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=edsair&AN=edsair.doi.dedup.....97226d2c1376467d55e2228d1a639147&authtype=sso&custid=ns315887.