Zheng, C., Wang, M., Takemoto, K., Akutsu, T., Zhang, Z., & Song, J. (2012). An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins. PloS one, 7(11), e49716. https://doi.org/10.1371/journal.pone.0049716
Chicago-Zitierstil (17. Ausg.)Zheng, Cheng, Mingjun Wang, Kazuhiro Takemoto, Tatsuya Akutsu, Ziding Zhang, und Jiangning Song. "An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins." PloS One 7, no. 11 (2012): e49716. https://doi.org/10.1371/journal.pone.0049716.
MLA-Zitierstil (9. Ausg.)Zheng, Cheng, et al. "An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins." PloS One, vol. 7, no. 11, 2012, p. e49716, https://doi.org/10.1371/journal.pone.0049716.