بدائل البحث:
"models using algorithms" » "models pacing algorithms" (توسيع البحث), "models nine algorithms" (توسيع البحث), "models sorting algorithms" (توسيع البحث), "model using algorithms" (توسيع البحث)
"neural coding algorithm" » "neural cosine algorithm" (توسيع البحث), "neural modeling algorithm" (توسيع البحث), "neural finding algorithm" (توسيع البحث)
"elements cscap algorithm" » "elements cc3d algorithm" (توسيع البحث), "elements ipca algorithm" (توسيع البحث), "elements custom algorithm" (توسيع البحث), "elements crcy algorithm" (توسيع البحث)
يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '(((("elements cscap algorithm") OR ("models using algorithms"))) OR ("neural coding algorithm"))*', وقت الاستعلام: 0.23s تنقيح النتائج
  1. 1
    Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf

    Data Sheet 1_Predicting reverse-bound peptide conformations in MHC Class II with PANDORA.pdf حسب Daniel T. Rademaker (12521431)

    منشور في 2025
    "…PANDORA has overcome this challenge through integrative modeling using algorithmically reversed peptides as templates. …"
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  2. 2
    Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip

    Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip حسب Zhou Dong (6293171)

    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. 3
    Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip

    Data Sheet 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip حسب Zhou Dong (6293171)

    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. 4
    Data Sheet 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip

    Data Sheet 2_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip حسب Zhou Dong (6293171)

    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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