Quantitative multi-species toxicity modeling: Does a multi-species, machine learning model provide better performance than a single-species model for the evaluation of acute aquatic toxicity by organic pollutants?
Author:
Funder
Narodowe Centrum Nauki
Publisher
Elsevier BV
Subject
Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering
Reference82 articles.
1. QSAR-co: an open source software for developing robust multitasking or multitarget classification-based QSAR models;Ambure;J. Chem. Inf. Model.,2019
2. Various health risks attributable to environment;Asami;J.Natl.Inst.Public Health,2018
3. Multi-target QSTR modeling for simultaneous prediction of multiple toxicity endpoints of nano-metal oxides;Basant;Nanotoxicology,2017
4. Framework for optimizing selection of interspecies correlation estimation models to address species diversity and toxicity gaps in an aquatic database;Bejarano;Environ. Sci. Technol.,2017
5. Target site model: application of the polyparameter target lipid model to predict aquatic organism acute toxicity for various modes of action;Boone;Environ. Toxicol. Chem.,2019
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