Encyclopedia of Infectious Diseases 2006
DOI: 10.1002/9780470114209.ch25
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Contributions of Morphometrics to Medical Entomology

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Cited by 56 publications
(52 citation statements)
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“…Principal component analysis (PCA) was applied to each individual rat data set (NI, PI, R8 and R12) to gain an overview of the degree of differentiation between the NI, PI, R8 and R12 groups. Analyses were carried out using CLIC package version 97 [37], which is freely available at http://mome-clic.com. Since PCA is an unsupervised method and makes no assumption as to the origin or class of samples, it allows the major sources of variance in a data set to be defined without incorporating an inherent bias.…”
Section: Methodsmentioning
confidence: 99%
“…Principal component analysis (PCA) was applied to each individual rat data set (NI, PI, R8 and R12) to gain an overview of the degree of differentiation between the NI, PI, R8 and R12 groups. Analyses were carried out using CLIC package version 97 [37], which is freely available at http://mome-clic.com. Since PCA is an unsupervised method and makes no assumption as to the origin or class of samples, it allows the major sources of variance in a data set to be defined without incorporating an inherent bias.…”
Section: Methodsmentioning
confidence: 99%
“…coronator , a generalized Procrustes distance analysis was performed in COV [40]. A Procrustes distance matrix was constructed and employed to generate a neighbor-joining (NJ) topology in PHYLIP version 3.7 [41].…”
Section: Methodsmentioning
confidence: 99%
“…The overall size of left wing was estimated by the centroid size (CS) in MOG [40]. CS was estimated according to Bookstein [43].…”
Section: Methodsmentioning
confidence: 99%
“…Phenotypic plasticity of body size is an important mechanism by which organisms can increase fitness in response to short-term environmental variation. Size variation is more influenced by environmental factors, whereas shape variation has a stronger genetic component (Klingenberg et al 2004, Dujardin and Slice 2007). Therefore, the main premise of shape variation studies is that a statistical analysis of population differentiation expressed in shape characters could be a measure of genetic heterogeneity (Patterson et al 2001).…”
mentioning
confidence: 99%