Open AccessPrediction of potential environmental toxicity of chemicals in <em>Lactuca sativa</em> seed germination using computational tools
Author(s) -
Juan A. Castillo-Garit,
Yuleidis González Pérez,
Eberts M. Albear,
Elizabeth Rodríguez,
Virginia Pérez-Doñate,
Facundo Pérez-Giménez
Publication year - 2019
Publication title -
proceedings of mol2net 2019, international conference on multidisciplinary sciences, 5th edition
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/mol2net-05-06715
Subject(s) - lactuca , phytotoxicity , quantitative structure–activity relationship , germination , robustness (evolution) , correlation coefficient , predictive modelling , biological system , mathematics , chemistry , botany , machine learning , computer science , biology , statistics , biochemistry , gene