Results 21 to 30 of about 49,034 (303)
On the incongruence of genotype-phenotype and fitness landscapes.
PLoS Computational Biology, 2022 The mapping from genotype to phenotype to fitness typically involves multiple nonlinearities that can transform the effects of mutations. For example, mutations may contribute additively to a phenotype, but their effects on fitness may combine non ...
Malvika Srivastava, Joshua L Payne
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Insects, 2023 In nature, plants can contain variable nutrients depending upon the species, tissue, and developmental stage. Insect herbivores may regulate their nutrient intake behaviorally and physio- logically when encountering different foods.
Shaolei Sun +4 more
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Applied Sciences, 2021 The paper aims to investigate the basin of attraction map of a complex Vehicle Routing Problem with random walk analysis. The Vehicle Routing Problem (VRP) is a common discrete optimization problem in field of logistics.
Anita Agárdi +2 more
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Quantifying the Evolutionary Constraints and Potential of Hepatitis C Virus NS5A Protein
mSystems, 2021 RNA viruses, such as hepatitis C virus (HCV), influenza virus, and SARS-CoV-2, are notorious for their ability to evolve rapidly under selection in novel environments.
Lei Dai +9 more
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Fitness landscape elemzési technikák áttekintése [PDF]
, 2020 In this article, we present fitness landscape analysis techniques. Fitness landscape analysis can be important in optimization algorithms. When researchers develop a new algorithm, it is tested on benchmark data.
Kovács, László +2 more
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Human Search in a Fitness Landscape: How to Assess the Difficulty of a Search Problem
Complexity, 2020 Computational modeling is widely used to study how humans and organizations search and solve problems in fields such as economics, management, cultural evolution, and computer science.
Oana Vuculescu +3 more
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BMC Bioinformatics, 2017 Background The canonical code, although prevailing in complex genomes, is not universal. It was shown the canonical genetic code superior robustness compared to random codes, but it is not clearly determined how it evolved towards its current form.
José Santos, Ángel Monteagudo
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eLife, 2022 Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.
Grzegorz Kudla, Marcin Plech
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Measuring ruggedness in fitness landscapes [PDF]
Proceedings of the National Academy of Sciences, 2015 How important are interactions among mutations for adaptation? Obviously, no gene functions in isolation, but it is possible that assuming that mutations have independent effects could still give a good prediction for how adaptation proceeds. In PNAS, Nahum et al.
Jeremy Van Cleve, Daniel B. Weissman
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Fitness Landscape Analysis of Automated Machine Learning Search Spaces [PDF]
, 2020 The field of Automated Machine Learning (AutoML) has as its main goal to automate the process of creating complete Machine Learning (ML) pipelines to any dataset without requiring deep user expertise in ML.
Cristiano G. Pimenta +7 more
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