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2. A Kernel-Based Method for Assessing Uncertainty on Individual QSAR Predictions. Tebby C; Mombelli E Mol Inform; 2012 Oct; 31(10):741-51. PubMed ID: 27476456 [TBL] [Abstract][Full Text] [Related]
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8. Uncertainty in QSAR predictions. Sahlin U Altern Lab Anim; 2013 Mar; 41(1):111-25. PubMed ID: 23614548 [TBL] [Abstract][Full Text] [Related]
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10. Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions. Sahigara F; Ballabio D; Todeschini R; Consonni V J Cheminform; 2013 May; 5(1):27. PubMed ID: 23721648 [TBL] [Abstract][Full Text] [Related]
11. The Relative Importance of Domain Applicability Metrics for Estimating Prediction Errors in QSAR Varies with Training Set Diversity. Sheridan RP J Chem Inf Model; 2015 Jun; 55(6):1098-107. PubMed ID: 25998559 [TBL] [Abstract][Full Text] [Related]
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14. Using beta binomials to estimate classification uncertainty for ensemble models. Clark RD; Liang W; Lee AC; Lawless MS; Fraczkiewicz R; Waldman M J Cheminform; 2014; 6():34. PubMed ID: 24987464 [TBL] [Abstract][Full Text] [Related]
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