Generalized multiplicative analysis of variance of kill kinetics data of antibacterial agents Ebrahimi, D en_US Sharifi, M en_US Hazell, Stuart en_US Hibbert, D. Brynn en_US 2021-11-25T12:50:43Z 2021-11-25T12:50:43Z 2008 en_US
dc.description.abstract Estimation of a large number of parameters to model higher order interaction terms limits the interpretability and therefore applicability of classic ANOVA models. Multiplicative models have been proposed to tackle this problem in data generated mainly by interactions. In this work a GEneralized Multiplicative ANalysis Of VAriance (GEMANOVA) method is applied to assess the bactericidal activity of novel antimicrobial agents isolated from plant extracts in different structure and oxidation forms and different concentrations on three genera of bacteria. While the applicability of ANOVA is restricted due to the complex interaction among the factors, GEMANOVA is shown to return robust and easily interpretable models which conform to the actual structure of the data. This study is the first application of GEMANOVA to model the data from the field of microbiology and the first GEMANOVA model in which more than two multi-way terms are used and interpreted. (C) 2008 Elsevier B.V. All rights reserved. en_US
dc.identifier.issn 0169-7439 en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.title Generalized multiplicative analysis of variance of kill kinetics data of antibacterial agents en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 2 en_US
unsw.relation.ispartofjournal Chemometrics and Intelligent Laboratory Systems en_US
unsw.relation.ispartofpagefrompageto 101-109 en_US
unsw.relation.ispartofvolume 92 en_US
unsw.relation.originalPublicationAffiliation Ebrahimi, D en_US
unsw.relation.originalPublicationAffiliation Sharifi, M en_US
unsw.relation.originalPublicationAffiliation Hazell, Stuart en_US
unsw.relation.originalPublicationAffiliation Hibbert, D. Brynn, Chemistry, Faculty of Science, UNSW en_US School of Chemistry *
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