Jing, R., Liang, Y., Ran, Y., Feng, S., Wei, Y., & He, L. (2018). Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes. International Journal of Genomics, 1. https://doi.org/10.1155/2018/8124950
Chicago Style (17th ed.) CitationJing, Runyu, Yu Liang, Yi Ran, Shengzhong Feng, Yanjie Wei, and Li He. "Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes." International Journal of Genomics 2018: 1. https://doi.org/10.1155/2018/8124950.
MLA (9th ed.) CitationJing, Runyu, et al. "Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes." International Journal of Genomics, 2018, p. 1, https://doi.org/10.1155/2018/8124950.