بدائل البحث:
"model using algorithms" » "model pacing algorithms" (توسيع البحث), "model nine algorithms" (توسيع البحث), "model sorting algorithms" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
"elements uce algorithm" » "elements each algorithm" (توسيع البحث), "elements cc3d algorithm" (توسيع البحث), "elements ipca algorithm" (توسيع البحث), "elements ices algorithm" (توسيع البحث), "elements fe algorithm" (توسيع البحث), "elements ree algorithm" (توسيع البحث)
"model using algorithms" » "model pacing algorithms" (توسيع البحث), "model nine algorithms" (توسيع البحث), "model sorting algorithms" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
"elements uce algorithm" » "elements each algorithm" (توسيع البحث), "elements cc3d algorithm" (توسيع البحث), "elements ipca algorithm" (توسيع البحث), "elements ices algorithm" (توسيع البحث), "elements fe algorithm" (توسيع البحث), "elements ree algorithm" (توسيع البحث)
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1
Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
منشور في 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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2
Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
منشور في 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 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip
منشور في 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 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf
منشور في 2025"…PANDORA has overcome this challenge through integrative modeling using algorithmically reversed peptides as templates. …"