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"neural coding algorithm" » "neural cosine algorithm" (Expand Search), "neural modeling algorithm" (Expand Search), "neural finding algorithm" (Expand Search)
"models using algorithm" » "models using algorithms" (Expand Search), "models routing algorithm" (Expand Search), "models fusion algorithm" (Expand Search), "model using algorithm" (Expand Search)
"elements mean algorithm" » "elements means algorithm" (Expand Search), "elements new algorithm" (Expand Search), "elements each algorithm" (Expand Search), "elements mges algorithm" (Expand Search), "element mesh algorithm" (Expand Search), "elements fe algorithm" (Expand Search)
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Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf
Published 2025“…PANDORA has overcome this challenge through integrative modeling using algorithmically reversed peptides as templates. …”
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Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
Published 2025“…The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms such as LightGBM, Random Forest, and XGBoost, achieved an R<sup>2</sup> value of 0.743 for biological activity prediction, demonstrating strong predictive performance. …”
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Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
Published 2025“…The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms such as LightGBM, Random Forest, and XGBoost, achieved an R<sup>2</sup> value of 0.743 for biological activity prediction, demonstrating strong predictive performance. …”
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Data Sheet 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
Published 2025“…The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms such as LightGBM, Random Forest, and XGBoost, achieved an R<sup>2</sup> value of 0.743 for biological activity prediction, demonstrating strong predictive performance. …”