Results 221 to 230 of about 107,212 (246)

Different approaches to relating genotype to phenotype in developmental disorders

Developmental Psychobiology, 2002
Discusses the complex problem of relating genotype to phenotype and challenge the simple mapping of genes to higher level cognitive modules. The authors examine various methods that have been used to investigate this relation including quantitative ...
Annette Karmiloff-Smith, Gaia Scerif, Michael S C Thomas   +2 more
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Adapting a Genotype-phenotype Mapping to Phenotypic Complexity

2009 NASA/ESA Conference on Adaptive Hardware and Systems, 2009
The marvel of biological development has motivated researchers to apply artificial development in bio-inspired systems. Among the possible features of artificial development that are being investigated is the potential for improving scalability of evolutionary optimization techniques,by applying artificial development as an indirect mapping.Currently ...
Morten Hartmann, Tim Goedeweeck
openaire   +1 more source

Genotype–phenotype mapping in another dimension

Nature Reviews Genetics, 2019
A study in Science shows that it is now possible to create high-resolution, non-linear maps of mammalian genetic interactions.
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Overrepresentations in Neutral Genotype-Phenotype Mappings and their Applications

Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007), 2007
This work presents in a first phase an original solution to the "Worst 1-MAX solver" competition, proposed at the Genetic and Evolutionary Computation Conference - GECCO' 2007 where the goal was to evolve the solution of the 1-MAX problem as late as possible within 1000 generations.
David Iclanzan, D. Dumitrescu
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Issues in designing a neutral genotype-phenotype mapping

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
This paper discusses issues that arise when a redundant genotype-phenotype mapping is used in the context of a real-world application. Previous studies have suggested that a redundant mapping, which introduces neutrality into the search space, can provide a beneficial role.
Rob Shipman, Mark Shackleton
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Multimodal learning for mapping genotype–phenotype dynamics

Nature Computational Science
How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in biology. Integrating high-content genotyping approaches such as single-cell RNA sequencing and advanced learning methods such as language models offers an opportunity for dissecting this complex relationship.
Farhan Khodaee, Rohola Zandie, Elazer R. Edelman   +2 more
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Evolutionary Dynamics of the Genotype-Phenotype Map

2014
Our aim is to study the evolutionary properties of a model of the genotype-phenotype. The relation between genotype and phenotype is very complicated. Such complexity is a consequence of the fact that the phenotype emerges from networks of interactions between genes and their products, which regulate gene expression and give rise to non-linear, high ...
Ibáñez-Marcelo, Esther, Alarcón, Tomás   +1 more
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Genome growth and the evolution of the genotype-phenotype map

1995
that can aect the variational properties of the genome and its evolvability. One consequence of selective genome growth is a form of genic selection: genes with large potential for generating new useful genes when duplicated ought to proliferate in the genome, rendering it ever more capable of generating adaptive variants.
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Neutral Networks and Evolvability with Complex Genotype-Phenotype Mapping

2001
In this paper, we investigate a neutral epoch during an optimisation run with complex genotype-to-fitness mapping. The behaviour of the search process during neutral epochs is of importance for evolutionary robotics and other artificial-life approaches that evolve problem solutions; recent work has argued that evolvability may change during these ...
Tom Smith, Phil Husbands, Michael O'Shea
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Phenotype-genotype mapping reveals the betaine-triggered L-arginine overproduction mechanism in Escherichia coli

Bioresource Technology, 2023
Shuai Jiang, Heyun Wu, Qian Ma
exaly