بدائل البحث:
significant rule » significant role (توسيع البحث), significant rise (توسيع البحث), significant cause (توسيع البحث)
significant nn » significant non (توسيع البحث), significant ns (توسيع البحث), significant new (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
significant rule » significant role (توسيع البحث), significant rise (توسيع البحث), significant cause (توسيع البحث)
significant nn » significant non (توسيع البحث), significant ns (توسيع البحث), significant new (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
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A rule–based MAP kinase model [53, 54] and its corresponding block configuration produced by the cytomorphic compiler.
منشور في 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
منشور في 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
منشور في 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
منشور في 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.
منشور في 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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Heatmap showing clusters based on Pearson correlation between the various return data features.
منشور في 2022الموضوعات: -
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