Results 121 to 130 of about 184,840 (164)
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Genetics and the Fitness of Hybrids
Annual Review of Genetics, 2001▪ Abstract Over the years, the evolutionary importance of natural hybridization has been a contentious issue. At one extreme is the relatively common view of hybridization as an evolutionarily unimportant process. A less common perspective, but one that has gained support over the past decade, is that of hybridization as a relatively widespread and ...
J M, Burke, M L, Arnold
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Human genetics: An extreme fitness landscape
Current Biology, 2023A new study aims to identify how genetic and physiological adaptations to altitude affect pregnancy, childbirth and neonatal health in one of the most extreme environments on Earth, the Tibetan Plateau.
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Genetic diseases: How the noise fits in
Current Biology, 2023Many disease-causing mutations can have mild or no effects in some people. This incomplete phenotype penetrance phenomenon is still poorly understood, but model animal studies now show that it is stochastic, with the outcome akin to flipping a coin. These findings can affect how genetic diseases are understood and treated.
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Trends in Neurosciences, 2001
High-density oligonucleotide micro-array methods have been used to analyze gene expression in the brain in response to enriched environment training. The results of this study by Rampon et al. indicate that several genes are upregulated under these conditions, such as those with known functions in neuronal structure and synaptic transmission.
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High-density oligonucleotide micro-array methods have been used to analyze gene expression in the brain in response to enriched environment training. The results of this study by Rampon et al. indicate that several genes are upregulated under these conditions, such as those with known functions in neuronal structure and synaptic transmission.
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Pipelined genetic architecture with fitness on the fly
Proceedings Euromicro Symposium on Digital Systems Design, 2002One of the main bottlenecks in Genetics Algorithms is the fitness evaluation for each individual. In this work, we propose a new fitness evaluation method, which will solve the bottleneck calculating a fitness on the fly.
Aitor Ibarra +3 more
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Genetic programming bloat with dynamic fitness
1998In artificial evolution individuals which perform as their parents are usually rewarded identically to their parents. We note that Nature is more dynamic and there may be a penalty to pay for doing the same thing as your parents. We report two sets of experiments where static fitness functions are firstly augmented by a penalty for unchanged offspring ...
William B. Langdon, Riccardo Poli
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GeneOnEarth: Fitting Genetic PC Plots on the Globe
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013Principal component (PC) plots have become widely used to summarize genetic variation of individuals in a sample. The similarity between genetic distance in PC plots and geographical distance has shown to be quite impressive. However, in most situations, individual ancestral origins are not precisely known or they are heterogeneously distributed; hence,
Sergio Torres-Sánchez +4 more
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Fitting Fluorescence Spectra with Genetic Algorithms
2000Up until now it Was not possible to automate the interpretation of spectra in which both frequencies and intensities contain (chemical) information. If the possibility of shifting peaks exist, point-wise comparisons of intensities at specific wavelengths is no longer adequate because wrong peaks could easily be compared.
Jos A. Hageman +4 more
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A Metric for Genetic Programs and Fitness Sharing
2000In the paper a metric for genetic programs is constructed. This metric reflects the structural difference of the genetic programs. It is used then for applying fitness sharing to genetic programs, in analogy with fitness sharing applied to genetic algorithms. The experimental results for several parameter settings are discussed.
Anikó Ekárt, Sándor Zoltán Németh
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Fitness Landscapes and Inductive Genetic Programming
1998This paper proposes a study of the performance of inductive genetic programming with decision trees. The investigation concerns the influence of the fitness function, the genetic mutation operator and the categorical distribution of the examples in inductive tasks on the search process. The approach uses statistical correlations in order to clarify two
Vanio Slavov, Nikolay I. Nikolaev
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