The proposed sub-graph affinity model performs as well as existing spectral clustering methods when PSNR is high. When the PSNR is low, the sub-graph affinity model outperforms f1-measures for the Ng-

NIAID Data Ecosystem20

Dataset 5A.13: Certification files, sigma = 1, part 13 (Nam et al., Robustness and parameter geography in post-translational modification systems)

后翻译修饰系统

鲁棒性分析

All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on VEGAS-sampled parameter points at \sigma = 50.

NIAID Data Ecosystem60

Results for noise-influenced models on (, ) samples with , , and , , , noise sequences.

生物序列motif发现

鲁棒性分析

The ratio of noise sequences is set at , and , ‘’ indicates that the real motifs were not in the top 25. The number after each run time is the ranking number of a true planted motif among the top 25

NIAID Data Ecosystem40

Parameter recovery rate under different levels of data noise.

资源简介：

相关数据集