Search alternatives:
process optimization » model optimization (Expand Search)
source optimization » resource optimization (Expand Search), surface optimization (Expand Search), source utilization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data source » data sources (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
process optimization » model optimization (Expand Search)
source optimization » resource optimization (Expand Search), surface optimization (Expand Search), source utilization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data source » data sources (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
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Results of the BRIDES node selection procedure for two scenarios and three weighted models.
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GSE96058 information.
Published 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.
Published 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...
Published 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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