TrendProbe: Time profile analysis of emerging contaminants by LC-HRMS non-target screening and deep learning convolutional neural network

Author:

Nikolopoulou Varvara,Aalizadeh Reza,Nika Maria-Christina,Thomaidis Nikolaos S.

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference69 articles.

1. Development and application of retention time prediction models in the suspect and non-target screening of emerging contaminants;Aalizadeh;J. Hazard. Mater.,2019

2. Aalizadeh, R., Schymanski, E.L., Thomaidi, N.S., 2017. AutoSuspect: an R package to Perform Automatic Suspect Screening based on Regulatory Databases. In: Proceedings of the 5th International Conference on Environmental Science and Technology, Rhodes, Greece.

3. Prediction of acute toxicity of emerging contaminants on the water flea Daphnia magna by Ant colony optimization–support vector machine QSTR models;Aalizadeh;Environ. Sci. Process. Impacts,2017

4. Multiple factor analysis: principal component analysis for multitable and multiblock data sets;Abdi;Wiley Interdiscip. Rev. Comput. Stat.,2013

5. Major metabolic pathway for N-methyl-2-pyrrolidone in humans;Åkesson;Drug Metab. Dispos.,1997

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