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Robustness of these phylogenies was evaluated by two additional programs, PHYML (maximum likelihood analysis) [ 45] and MrBayes (Bayesian estimation of phylogeny) [ 46] with different parameters (for example, transition matrices and evolutionary models).
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Pairwise distance matrices and minimum evolutionary (ME) phylogenetic analyses were conducted with the Kimura 2-Parameter model using MEGA 4 software [ 38].
In this paper, a method that combines modelling using a multilayer perceptron network and controller synthesis using linear matrix inequalities (LMIs) and evolutionary search is proposed.
In the present paper, the synthesis of a fixed-structure low-order self-scheduled H∞ controller is based on linear matrix inequality (LMIs) and evolutionary search.
To obtain more information on some applications from population matrix models in ecological and evolutionary studies see [15] and the references therein.
This study starts with a population genetics model to derive equations that link weak selection, genetic drift, and mutation to the f parameter and evolutionary rate matrices of the +gwF variants.
In the future, we envision that it will complement existing structural matrices and be used alongside evolutionary and functional information in building more sophisticated predictive models to forecast the biological severity of new mutations that are being discovered at a fast pace because of personal exome sequencing in fundamental research and clinical applications (Kumar et al. 2011).
In addition to the PCA above, we performed phylogenetic PCA on both form and shape matrices for evolutionary rate analyses (Revell, 2009) to account for phylogenetic non-independence of morphometric data.
In bioinformatics and evolutionary biology, the substitution matrix like BLOSUM62 describes the rate where one character in a sequence changes to other character states over time.
This protein is found generally in the mitochondrial matrix and is an evolutionary conserved enzyme in a variety of organisms.
Four dynamical elements are introduced in this formulation: the ascendant matrix, the transverse matrix, the Wright evolutionary potential, and the stochastic drive.
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