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Coping with Unbalanced Class Data Sets in Oral Absorption Models

https://doi.org/10.1021/ci300348u
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Theoretically-derived molecular descriptors important in human intestinal absorption
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Feature Selection for Descriptor Based Classification Models. 2. Human Intestinal Absorption (HIA)
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Classification Tree Models for the Prediction of Blood−Brain Barrier Passage of Drugs
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ADME Evaluation in Drug Discovery. 7. Prediction of Oral Absorption by Correlation and Classification
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Beyond Size, Ionization State, and Lipophilicity: Influence of Molecular Topology on Absorption, Distribution, Metabolism, Excretion, and Toxicity for Druglike Compounds
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Physicochemical Space for Optimum Oral Bioavailability: Contribution of Human Intestinal Absorption and First-Pass Elimination
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Random Forests
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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