بدائل البحث:
process optimization » model optimization (توسيع البحث)
source optimization » resource optimization (توسيع البحث), surface optimization (توسيع البحث), source utilization (توسيع البحث)
based process » based processes (توسيع البحث), based probes (توسيع البحث), based proteins (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data source » data sources (توسيع البحث)
process optimization » model optimization (توسيع البحث)
source optimization » resource optimization (توسيع البحث), surface optimization (توسيع البحث), source utilization (توسيع البحث)
based process » based processes (توسيع البحث), based probes (توسيع البحث), based proteins (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data source » data sources (توسيع البحث)
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Results of the BRIDES node selection procedure for two scenarios and three weighted models.
منشور في 2022الموضوعات: -
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GSE96058 information.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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The performance of classifiers.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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Optimized combination methods for exploring novel space environment-responsive genes and their roles: insights from space-flown <i>C. elegans</i> and their implications for astrona...
منشور في 2025"…</p> <p>We employed an optimized combination algorithm that integrated two co-expression network analysis methods and four machine learning-based models to identify space environment-responsive genes (SEGs) in space-flown <i>C. elegans</i>. …"
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