Search alternatives:
"models using algorithms" » "models pacing algorithms" (Expand Search), "models nine algorithms" (Expand Search), "models sorting algorithms" (Expand Search), "model using algorithms" (Expand Search)
"neural coding algorithm" » "neural cosine algorithm" (Expand Search), "neural modeling algorithm" (Expand Search), "neural routing algorithm" (Expand Search)
"element finding algorithm" » "element bonding algorithm" (Expand Search), "recent finding algorithm" (Expand Search), "present findings algorithm" (Expand Search)
"models using algorithms" » "models pacing algorithms" (Expand Search), "models nine algorithms" (Expand Search), "models sorting algorithms" (Expand Search), "model using algorithms" (Expand Search)
"neural coding algorithm" » "neural cosine algorithm" (Expand Search), "neural modeling algorithm" (Expand Search), "neural routing algorithm" (Expand Search)
"element finding algorithm" » "element bonding algorithm" (Expand Search), "recent finding algorithm" (Expand Search), "present findings algorithm" (Expand Search)
-
1
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. …”
-
2
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. …”
-
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. …”
-
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. …”