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File S1 - PANET: A GPU-Based Tool for Fast Parallel Analysis of Robustness Dynamics and Feed-Forward/Feedback Loop Structures in Large-Scale Biological Networks

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_PANET_A_GPU_Based_Tool_for_Fast_Parallel_Analysis_of_Robustness_Dynamics_and_Feed_Forward_Feedback_Loop_Structures_in_Large_Scale_Biological_Networks_/1116386
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Supporting information file. File S1 includes the following: Text S1. A brief introduction to OpenCL. Text S2. OpenCL-based parallel computation of robustness. Text S3. OpenCL-based parallel examination of feedback and feed-forward loops. Text S4. Format of an output file by batch-mode simulation on RBNs. Figure S1. Relationship between the ratio of coherent FFLs and update-rule robustness in large-scale Boolean networks by Shuffling models. Figure S2. Relationship between the ratio of coherent FBLs and initial-state robustness in Boolean networks by the ER model. Figure S3. Relationship between the ratio of coherent FBLs and initial-state robustness in Boolean networks by Shuffling models. (DOCX)
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2015-12-02
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