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Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
In our paper, we compare the performance of popular model prediction metric MSE and proposed reproducibility criterion Stability in evaluating four widely used feature selection methods in both simulations and experimental microbiome applications.
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery
Discovering precise and interpretable rules from knowledge graphs is regarded as an essential challenge, which can improve the performances of many downstream tasks and even provide new ways to approach some Natural Language Processing research topics.
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