Predicting the aquatic toxicity mode of action using logistic regression and linear discriminant analysis

Multispecies QSAR Modeling for Predicting the Aquatic Toxicity of Diverse Organic Chemicals for Regulatory Toxicology

(2014) Kunwar P. Singh et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Prediction of Aquatic Toxicity Mode of Action Using Linear Discriminant and Random Forest Models

(2013) Todd M. Martin et al.   Journal of Chemical Information and Modeling

QSPR modeling of nonionic surfactant cloud points: An update

(2011) Yueying Ren et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

Prediction of Aqueous Solubility, Vapor Pressure and Critical Micelle Concentration for Aquatic Partitioning of Perfluorinated Chemicals

(2010) Barun Bhhatarai et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Support Vector Machine (SVM) as Alternative Tool to Assign Acute Aquatic Toxicity Warning Labels to Chemicals

(2010) Lisa Michielan et al.   Molecular Informatics

A comparative QSAR study of SVM and PPR in the correlation of lithium cation basicities

(2009) Alan R. Katritzky et al.   COLLECTION OF CZECHOSLOVAK CHEMICAL COMMUNICATIONS

Application of Random Forest Approach to QSAR Prediction of Aquatic Toxicity

(2009) Pavel G. Polishchuk et al.   Journal of Chemical Information and Modeling

QSPR Study on the Melting Points of a Diverse Set of Potential Ionic Liquids by Projection Pursuit Regression

(2009) Yueying Ren et al.   Quantitative structure-activity relationships & combinatorial science

Predicting toxic action mechanisms of phenols using AdaBoost Learner

(2008) Bing Niu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Screening of persistent organic pollutants by QSPR classification models: A comparative study

(2008) Ester Papa et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

Review of (Quantitative) Structure–Activity Relationships for Acute Aquatic Toxicity

(2008) Tatiana I. Netzeva et al.   Quantitative structure-activity relationships & combinatorial science