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The method uses conventional techniques such as geostatistical and classical pattern recognition in conjunction with modern techniques such as soft computing (neuro-computing, fuzzy logic, genetic computing, and probabilistic reasoning).
By its definition, the soft computing is just known as an integration of a number of fields including the fuzzy logic, the neuro-computing techniques, the evolutionary procedures, the genetic computing and the statistical computing algorithms.
On the other hand, the algorithm can be turned into a machinery for stochastic analysis (e.g. for Monte Carlo simulation, time series modelling or neural networks), where the mathematical programming and genetic computing facilities are deactivated.
A parsimonious genetic computing model proved yielded 60% sensitivity at 96.6% specificity for late preeclampsia prediction.
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This paper proposes a hybrid system based on Genetic Neural Computing (GNC) for analyzing and interpreting the data derived from the concentration of the dissolved gases.
In the past few decades, technological advances have produced a flood of genetic data, computing power has exploded, and scientists have developed new mathematical algorithms for building phylogenies or evolutionary trees.
Data were quarterly national genetic evaluations, computed between February 1999 and February 2003 in nine countries.
The river barrier effect is assessed by comparing genetic measures computed from model outputs to those calculated from 166 raccoons recently sampled from the same landscape.
To address this issue, we analyzed whether differences in recombination rates among human populations are correlated with their genetic differences computed as genetic distances.
Here, we compared genetic distance computed with the described method obtaining a null distribution with 500000 permutations.
Genetic diversity computed for the unigenes aligning to the Hypericum BAC clone HM06166.
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