《学术论文集锦[开错]》紫微客

17、017

　　(8)

　　Where,
　　k is the number of clusters;
　　represents the geometric center of the cluster i;
　　represents the average distance between the elements in cluster i and ;
　　represents the distance between cluster i and cluster j.
　　5.References

　　1.LI Jing, ZHANG Wei-ling, HUANG Dong-sheng, HU Hui-min, ZHANG Yi, WEN Yuan, HAN Tao, ZHANG Rui-xian, LI Fan. Establishment of precisionchemotherapy for intermediate and advanced stage hepatoblastoma based on tumor chemosensitive assay in vitro[J]. Chinese Journal of Evidence -Based Pediatric, 2016, 11(5): 361-364.
　　2.Fallahi-Sichani, M., Honarnejad, S., Heiser, L. M., Gray, J. W., & Sorger, P. K. (2013). Metrics other than potency reveal systematic variation in responses to cancer drugs. Nature chemical biology, 9(11), 708-714.
　　3.Clark, N. A., Hafner, M., Kouril, M., Williams, E. H., Muhlich, J. L., Pilarczyk, M., ... & Medvedovic, M. (2017). GRcalculator: an online tool for calculating and mining dose–response data. BMC cancer, 17, 1-11.
　　4.Hafner M, Niepel M, Chung M, Sorger PK. Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs. Nat Methods. 2016 Jun;13(6):521-7. doi: 10.1038/nmeth.3853. Epub 2016 May 2. PMID: 27135972; PMCID: PMC4887336.
　　5.Bretz F, Hsu J, Pinheiro J, Liu Y. Dose finding - a challenge in statistics. Biom J. 2008 Aug;50(4):480-504. doi: 10.1002/bimj.200810438. PMID: 18663758.
　　6.Zou, Y., Sun, M., & Wang, T. (2010). Application of Bayes Small Sample Statistics Theory in Ship Navigation Equipment Maintenance. China Shiprepair, 23(5), 37–40.
　　7.Lian, J., Lin, Z., Lai, X., & Yao, F. (2002). A Bayesian Method for Pass-Rate Estimation Based on Small Sample. Journal of Shanghai Jiao Tong University, 36(8), 1064–1074.
　　8.You, W., Ji, G., Yuan, M., & Qing, F. (2013). A Small-Sample Modeling and Visua- lization on Statistical Methods. Mathematics in Practice and Theory, 43(7), 68–75.
　　9.Li, D., & Wen, I. (2014). A genetic algorithm-based virtual sample generation technique to improve small data set learning. Neurocomputing, 143, 222-230.
　　10.Song, M. L., Zhang, L. L., Liu, W., & Fisher, R. (2013). Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data. Applied energy, 112, 1049- 1055.
　　11.Bretz, F., Pinheiro, J. C., & Branson, M. (2005). Combining multiple comparisons and modeling techniques in dose‐response studies. Biometrics, 61(3), 738-748.
　　12.Bornkamp, B., Bretz, F., Dmitrienko, A., Enas, G., Gaydos, B., Hsu, C. H., ... & Shen, F. (2007). Innovative approaches for designing and analyzing adaptive dose-ranging trials. Journal of biopharmaceutical statistics, 17(6), 965-995.
　　13.Feller, C., Schorning, K., Dette, H., Bermann, G., & Bornkamp, B. (2017). Optimal designs for dose response curves with common parameters. https://doi.org/ 10.1214/16-AOS1520
　　14.Yuan, L., Zhan, Z., & Tan, X. (2015). Comparison of Bayesian Interim Analysis and Classical Interim Analysis in Group Sequential Design. 1638–1642. https://doi. org/10.3969/j.issn.1673-4254.2015.11.24