Search alternatives:
significant rule » significant role (Expand Search), significant rise (Expand Search), significant cause (Expand Search)
significant i.e » significant inter (Expand Search), significant bias (Expand Search), significant gap (Expand Search)
i.e decrease » we decrease (Expand Search), sizes decrease (Expand Search), teer decrease (Expand Search)
significant rule » significant role (Expand Search), significant rise (Expand Search), significant cause (Expand Search)
significant i.e » significant inter (Expand Search), significant bias (Expand Search), significant gap (Expand Search)
i.e decrease » we decrease (Expand Search), sizes decrease (Expand Search), teer decrease (Expand Search)
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A rule–based MAP kinase model [53, 54] and its corresponding block configuration produced by the cytomorphic compiler.
Published 2020“…An SBML simulation of the flattened rule–based model (B) and a block simulation (C) are identical up to 3 significant figures (simulated using libRoadRunner, CVODES solver, absolute and relative tolerances 10<sup>−20</sup> and 10<sup>−12</sup> respectively).…”
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Table_2_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX
Published 2020“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”
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Table_3_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX
Published 2020“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”
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Table_1_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.xlsx
Published 2020“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”
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Performance comparison of ML-based models.
Published 2025“…Additionally, the most significant rules are analyzed using the association mining technique to identify the influencing predictors of high risk of CVD.…”
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