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Toxicity Models: Bayesian Network Resource for Meta‐Analysis: Cellular Toxicity of Quantum Dots (Small 34/2019)
Author(s) -
Bilal Muhammad,
Oh Eunkeu,
Liu Rong,
Breger Joyce C.,
Medintz Igor L.,
Cohen Yoram
Publication year - 2019
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201970181
Subject(s) - toxicity , quantum dot , bayesian network , computer science , bayesian probability , computational biology , nanotechnology , chemistry , materials science , artificial intelligence , biology , organic chemistry
In article number 1900510, Yoram Cohen and co‐workers develop a Bayesian networks (BNs) tool to explore the cellular toxicity of cadmium‐containing quantum dots (QDs) utilizing data from 515 publications from research groups across different continents. The impact of various QD properties on cellular toxicity is elucidated along with mapping of data patterns in terms of association rules.