Feature importance in multi-dimensional tissue-engineering datasets: Random forest assisted optimization of experimental variables for collagen scaffolds

MLA

Malavika Nair, et al. “Feature Importance in Multi-Dimensional Tissue-Engineering Datasets: Random Forest Assisted Optimization of Experimental Variables for Collagen Scaffolds.” Applied Physics Reviews, vol. 8, Dec. 2021, p. 041403. 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...........395ed0ecd572c7b36b0db63a5969913d&authtype=sso&custid=ns315887.

APA

Malavika Nair, Ruth E. Cameron, Ioana Bica, & Serena M. Best. (2021). Feature importance in multi-dimensional tissue-engineering datasets: Random forest assisted optimization of experimental variables for collagen scaffolds. Applied Physics Reviews, 8, 041403.

Chicago

Malavika Nair, Ruth E. Cameron, Ioana Bica, and Serena M. Best. 2021. “Feature Importance in Multi-Dimensional Tissue-Engineering Datasets: Random Forest Assisted Optimization of Experimental Variables for Collagen Scaffolds.” Applied Physics Reviews 8 (December): 041403. 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...........395ed0ecd572c7b36b0db63a5969913d&authtype=sso&custid=ns315887.