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Dataset 4X.3: Solutions files, sigma = 5000, part 3 (Nam et al., Robustness and parameter geography in post-translational modification systems)

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参数稳健性分析

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资源简介：

All solutions statistics files for Paramotopy runs with \sigma = 5000.

应用场景：

创建时间：

2020-03-20

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参数空间分析

All (non-final) posreal counts files for Paramotopy runs with \sigma = 1.0078125.

Mendeley Data2024-01-31 更新80

Dataset 2Q: Sample files, part 17 (Nam et al., Robustness and parameter geography in post-translational modification systems)

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参数空间分析

All Paramotopy sample files generated to compute 10-fold visibility ratios.

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Dataset 4I.7: Solutions files, sigma = 2, part 7 (Nam et al., Robustness and parameter geography in post-translational modification systems)

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参数稳健性分析

All proper solutions files for Paramotopy runs with \sigma = 2.0 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.

NIAID Data Ecosystem10

Dataset 4Q.7: Solutions files, sigma = 20, part 7 (Nam et al., Robustness and parameter geography in post-translational modification systems)

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参数稳健性分析

All proper solutions files for Paramotopy runs with \sigma = 20 on VEGAS-sampled parameter points at \sigma = 20.

Mendeley Data2024-01-31 更新70

Dataset 4R.6: Solutions files, sigma = 50, part 6 (Nam et al., Robustness and parameter geography in post-translational modification systems)

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地理学分析

All proper solutions files for Paramotopy runs with \sigma = 50 on ILR-sampled parameter points in [10^{-p}, 10^p]^8, for p = 2, 3, 4, 5.

NIAID Data Ecosystem10

Dataset 4X.3: Solutions files, sigma = 5000, part 3 (Nam et al., Robustness and parameter geography in post-translational modification systems)

资源简介：

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