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"elements mapping algorithm" » "elements making algorithm" (Expand Search), "elements mining algorithm" (Expand Search), "elements learning algorithm" (Expand Search), "element mapping algorithm" (Expand Search), "elemental mapping algorithm" (Expand Search), "elements during algorithm" (Expand Search)
"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)
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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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3
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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4
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. …”