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Test datasets used to validate PathoFact 2.0 performance
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创建时间：
2024-11-21
相关数据集
Figure 2. Comparison of ML Models in Predicting the Physicochemical Properties of Antibiotic Drugs Using R², MSE, MAE, and RMSE..docx
Comparison of ML Models in Predicting the Physicochemical Properties of Antibiotic Drugs
DataCite Commons2025-05-24 更新70
Escherichia coli Raw sequence reads. Escherichia coli
Prediction of antibiotic resistance gene evolution facilitated by relative growth measured for all proximal mutants under antibiotic selection
NIAID Data Ecosystem40
Univariate analysis of predictors of inadequate empiric antibiotic therapy.
Univariate analysis of predictors of inadequate empiric antibiotic therapy.
NIAID Data Ecosystem30
Table_2_β-LacFamPred: An online tool for prediction and classification of β-lactamase class, subclass, and family.xlsx
β-Lactams are a broad class of antimicrobial agents with a high safety profile, making them the most widely used class in clinical, agricultural, and veterinary setups. The widespread use of β-lactams
NIAID Data Ecosystem40
Additional file 8: Table S7. of Validation of β-lactam minimum inhibitory concentration predictions for pneumococcal isolates with newly encountered penicillin binding protein (PBP) sequences
The positive predictive value (PPV) and negative predictive value (NPV) for β-Lactam resistance. (CSV 569 bytes)
Figshare2017-08-16 更新30
