Sentence examples for methods with genetic from inspiring English sources

It emphasizes on several robust and practical inverse algorithms developed through the combination of different types of optimization methods, such as gradient-based methods with genetic algorithms and intergeneration projection genetic algorithms.

Based on this hypothesis, we combined spatial statistical methods with genetic analytic techniques and explicitly used geographic space to explore genetic evolution of H5N1 highly pathogenic avian influenza viruses at the sub-national scale in Vietnam.

The ultimate goal is to integrate modern statistical methods with genetic data and biological knowledge, which will further improve the power to detect complex interactions (54).

On the other hand, due to convergence problems with ML estimation, only results for the MSP method with genetic algorithms are given.

Reference [12] presented a method with genetic algorithm and particle swarm optimization to find the optimal location and the number of buses to be split.

We validate the method with genetic controls in the avian cell line DT40 and use it to examine the intracellular dynamics of PCNA ubiquitination following subnuclear UV irradiation.

Phylogenetic trees were inferred using the neighbour-joining distance method, with genetic distances calculated using Kimura's two-parameter model (K2P and bootstrapping test) in MEGA 4.0.

Phylogenetic trees were constructed using the neighbor-joining method with genetic distances computed using the pairwise deletion model and bootstrap analysis of 500 values and root on midpoint (i.e. midpoint of the longest pathway between two clusters of sequences).

In the present study, we use similar proteomic methods, coupled with genetic overexpression of BACE1, to identify in an unbiased fashion the proteins regulated by β-secretase in two epithelial cell lines.

These comparative genomics methods along with genetic mapping, expression profiling, and candidate gene approaches are part of investigating the genetic basis of phenotypic variation.

Improved neuroanatomical and neurophysiological methods, combined with genetic tools, will be helpful in addressing these questions and will improve the outlook for anti-obesity therapy.