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Predictive Toxicology: Benchmarking Molecular Descriptors and Statistical Methods
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Handbook of Molecular Descriptors
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The Elements of Statistical Learning
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Modern Applied Statistics with S-PLUS
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Computer systems for the prediction of toxicity: an update
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Mixture deconvolution and analysis of Ames mutagenicity data
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Pattern Recognition and Neural Networks
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Molecular identification number for substructure searches
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Topological organic chemistry. 1. Graph theory and topological indices of alkanes
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Metric Validation and the Receptor-Relevant Subspace Concept
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Analysis of a Large Structure/Biological Activity Data Set Using Recursive Partitioning
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A Quantitative Structure−Activity Relationships Model for the Acute Toxicity of Substituted Benzenes to Tetrahymena pyriformis Using Bayesian-Regularized Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Computer‐aided prediction of toxicity with substructure pattern and random forest
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Prediction of ADMET Properties
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