ULCYP: A Multi-task Model for Predicting P450 Inducers Based on Positive-Unlabeled Learning
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资源简介：
Inducer_Non-agonist_Dataset: Labeled collection of CYP inducers and non-agonists for calibration and validation. Positive-Unlabeled Dataset: Training data for the PU learning framework, containing positives and broad unlabeled metabolism-associated compounds. TestDataset.joblib: The serialized original test set ensuring model reproducibility.
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Zenodo创建时间：
2026-01-29
