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Modeling the Toxicity of Aromatic Compounds toTetrahymena pyriformis: The Response Surface Methodology with Nonlinear Methods

https://doi.org/10.1021/ci034046y
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1521-3838(200010)19:4<339::aid-qsar339>3.0.co;2-eopenalex-snapshot
Dimyristoyl Phosphatidylcholine/water Partitioning-dependent Modeling of Narcotic Toxicity toTetrahymena pyriformis
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Short-term exposure to 17α-ethynylestradiol decreases the fertility of sexually maturing male rainbow trout (Oncorhynchus mykiss)
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Neural Networks
inferredcites →https://doi.org/10.1016/s0166-1280(02)00618-8openalex-snapshot
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On the Parametrization of the Toxicity of Organic Chemicals to Tetrahymena pyriformis. The Problem of Establishing a Uniform Activity
inferredcites →https://doi.org/10.1021/ci9800965openalex-snapshot
Response-Surface Analyses for Toxicity to Tetrahymena pyriformis: Reactive Carbonyl-Containing Aliphatic Chemicals
inferredcites →https://doi.org/10.1021/jm00300a041openalex-snapshot
Mass spectral analysis in the identification of human metabolites of warfarin
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Models for estimating the non-specific aquatic toxicity of organic compounds
inferredcites →https://doi.org/10.1080/00401706.1990.10484703openalex-snapshot
Applied Linear Regression Models
inferredcites →https://doi.org/10.1080/105172397243079openalex-snapshot
TETRATOX: TETRAHYMENA PYRIFORMIS POPULATION GROWTH IMPAIRMENT ENDPOINTA SURROGATE FOR FISH LETHALITY
inferredcites →https://doi.org/10.1080/10618600.2000.10474883openalex-snapshot
On the LASSO and Its Dual
inferredcites →https://doi.org/10.1080/10629369308029895openalex-snapshot
Relationships Between Descriptors for Hydrophobicity and Soft Electrophilicity in Predicting Toxicity
inferredcites →https://doi.org/10.2307/2290538openalex-snapshot
Generalized Additive Models.

What points at this work

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Accurate Prediction of Aquatic Toxicity of Aromatic Compounds Based on Genetic Algorithm and Least Squares Support Vector Machines
inferred← citeshttps://doi.org/10.1007/978-1-4419-0197-2_1openalex-snapshot
Artificial Neural Network Modeling of the Environmental Fate and Ecotoxicity of Chemicals
inferred← citeshttps://doi.org/10.1007/978-1-60327-101-1_5openalex-snapshot
Artificial Neural Network Modeling in Environmental Toxicology
inferred← citeshttps://doi.org/10.1007/s10822-008-9225-4openalex-snapshot
Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction
inferred← citeshttps://doi.org/10.1007/s10876-017-1328-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aca.2007.02.058openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecoenv.2013.11.019openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2025.137312openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijhydene.2020.12.031openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpba.2005.05.034openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scitotenv.2022.153322openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/1062936x.2014.919959openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/1062936x.2018.1424030openalex-snapshot
QSAR modelling using combined simple competitive learning networks and RBF neural networks
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Quantitative structure-toxicity relationships (QSTRs): A comparative study of various non linear methods. General regression neural network, radial basis function neural network and support vector machine in predicting toxicity of nitro- and cyano- aromatics to Tetrahymena pyriformis
inferred← citeshttps://doi.org/10.1109/tsmcb.2006.883430openalex-snapshot
Global Optimization With Multivariate Adaptive Regression Splines
inferred← citeshttps://doi.org/10.1135/cccc2010143openalex-snapshot
Use of advanced statistical learning methods and principal component analysis in quantitative structure–genotoxicity relationship study of amines
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