Use of topological indices of polychlorinated biphenyls in structure–retention relationships
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry
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1. Potential of topological descriptors to model the retention of polychlorinated biphenyls in different gas chromatography stationary phases, including ionic liquid-based columns;Journal of Chromatography A;2020-04
2. Radial basis function neural networks based on projection pursuit approach and solvatochromic descriptors: single and full column prediction of gas chromatography retention behavior of polychlorinated biphenyls;Journal of Chemometrics;2016-09-04
3. MI-NODES Multiscale Models of Metabolic Reactions, Brain Connectome, Ecological, Epidemic, World Trade, and Legal-Social Networks;Current Bioinformatics;2015-11-13
4. MIANN Models of Networks of Biochemical Reactions, Ecosystems, and U.S. Supreme Court with Balaban-Markov Indices;Current Bioinformatics;2015-11-13
5. How do the substituents affect and regulate the relative retention times of polychlorinated biphenyls during gas chromatography?;Journal of Chemometrics;2015-09-23
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