All proper solutions files for Paramotopy runs with \sigma = 3.0 on ILR-sampled parameter points in [10^{-p}, 10^p]^6, with \epsilon_2 = \phi_0 = 0, for p = 1, 2, 3, 4, 5.

doi.org90

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

Dataset 5A.4: Certification files, sigma = 1, part 4 (Nam et al., Robustness and parameter geography in post-translational modification systems)

后翻译修饰系统

参数空间分析

All composite output files from certifying solutions from Paramotopy runs with \sigma = 1.0 on the single-iteration VEGAS sample generated for low values of \sigma.

NIAID Data Ecosystem30

Dataset 4A.26: Solutions files, sigma = 1, part 26 (Nam et al., Robustness and parameter geography in post-translational modification systems)

资源简介：

Dataset 4A.26: Solutions files, sigma = 1, part 26 (Nam et al., Robustness and parameter geography in post-translational modification systems)

资源简介：

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