Cite
Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize
MLA
Pengfei Qiao, et al. “Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.” G3: Genes|Genomes|Genetics, vol. 9, no. 12, Oct. 2019, pp. 4235–43. 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.....e7a4c343eb9702328d8ed8d27cefbc46&authtype=sso&custid=ns315887.
APA
Pengfei Qiao, Michael A. Gore, Meng Lin, Laurie G. Smith, Matheus Baseggio, Michael J. Scanlon, Susanne Matschi, James Chamness, Miguel F. Vasquez, & Mert R. Sabuncu. (2019). Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize. G3: Genes|Genomes|Genetics, 9(12), 4235–4243.
Chicago
Pengfei Qiao, Michael A. Gore, Meng Lin, Laurie G. Smith, Matheus Baseggio, Michael J. Scanlon, Susanne Matschi, James Chamness, Miguel F. Vasquez, and Mert R. Sabuncu. 2019. “Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.” G3: Genes|Genomes|Genetics 9 (12): 4235–43. 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.....e7a4c343eb9702328d8ed8d27cefbc46&authtype=sso&custid=ns315887.