بدائل البحث:
processes optimization » process optimization (توسيع البحث), process optimisation (توسيع البحث), property optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
based processes » care processes (توسيع البحث)
genes based » gene based (توسيع البحث), lens based (توسيع البحث)
binary b » binary _ (توسيع البحث)
b wolf » _ wolf (توسيع البحث), a wolf (توسيع البحث)
processes optimization » process optimization (توسيع البحث), process optimisation (توسيع البحث), property optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
based processes » care processes (توسيع البحث)
genes based » gene based (توسيع البحث), lens based (توسيع البحث)
binary b » binary _ (توسيع البحث)
b wolf » _ wolf (توسيع البحث), a wolf (توسيع البحث)
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Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm
منشور في 2023"…</p><p dir="ltr"> (2) Isolated genes were properly processed by the IDS to optimize the network structure.…"
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Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm
منشور في 2023"…This work mainly focuses on the following aspects: (1) On the basis of the IPC-MB and DPI, we presented a novel feature selection method called the improved MB discovery algorithm (IMBDA), which can accurately identify direct and indirect regulatory genes when inferring networks. (2) Isolated genes were properly processed by the IDS to optimize the network structure. (3) The performance of IMBDANET was assessed with extensive experiments. …"
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Population graph of 19 wood turtle populations based on conditional genetic distance (cGD).
منشور في 2022الموضوعات: -
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Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF
منشور في 2022"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"