Referee report. For: Machine learning models identify molecules active against the Ebola virus in vitro [version 3; referees: 2 approved]

MLA

Glisic, Sanja. Referee Report. For: Machine Learning Models Identify Molecules Active against the Ebola Virus in Vitro [Version 3; Referees: 2 Approved]. Jan. 2017. EBSCOhost, https://doi.org/10.5256/f1000research.11510.r19459.

APA

Glisic, S. (2017). Referee report. For: Machine learning models identify molecules active against the Ebola virus in vitro [version 3; referees: 2 approved]. https://doi.org/10.5256/f1000research.11510.r19459

Chicago

Glisic, Sanja. 2017. “Referee Report. For: Machine Learning Models Identify Molecules Active against the Ebola Virus in Vitro [Version 3; Referees: 2 Approved],” January. doi:10.5256/f1000research.11510.r19459.