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Classifying Modes of Toxic Action of Molecules with Electronic-structure Informatics. Application to Imbalanced Toxicity Data of Phenol Derivatives to Tetrahymena pyriformis
Author(s) -
Algafari Bakti Manggara,
K. Ohkawa,
Manabu Sugimoto
Publication year - 2021
Publication title -
chemistry letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.492
H-Index - 114
eISSN - 1348-0715
pISSN - 0366-7022
DOI - 10.1246/cl.210453
Subject(s) - tetrahymena pyriformis , oversampling , chemistry , artificial intelligence , boosting (machine learning) , quantitative structure–activity relationship , pattern recognition (psychology) , molecular descriptor , biological system , machine learning , computer science , stereochemistry , tetrahymena , biology , biochemistry , computer network , bandwidth (computing)

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