Learning Monotonic Genotype-Phenotype Maps
نویسندگان
چکیده
منابع مشابه
Genotype-Phenotype Maps
The current implementation of the Neo-Darwinian model of evolution typically assumes that the set of possible phenotypes is organized into a highly symmetric and regular space equipped at least with a notion of distance, for example, a Euclidean vector space. Recent computational work on the biophysical genotype-phenotype model defined by the folding of RNA sequences into secondary structures s...
متن کاملStructural properties of genotype-phenotype maps.
The map between genotype and phenotype is fundamental to biology. Biological information is stored and passed on in the form of genotypes, and expressed in the form of phenotypes. A growing body of literature has examined a wide range of genotype-phenotype (GP) maps and has established a number of properties that appear to be shared by many GP maps. These properties are 'structural' in the sens...
متن کاملStudying the Evolvability of Self-Encoding Genotype-Phenotype Maps
We introduce a model of reproduction in which the genotypephenotype (G-P) map is able to evolve. In this model, Each organism implements a G-P map, determining how the organism is encoded in its genome. Crucially, it also determines how the G-P map itself is encoded. We call these maps ‘self-encoding’. We relate this model to recent artificial life research, and back to the seminal work of John...
متن کاملEstimation of Genetic Effects and Genotype-Phenotype Maps
Determining the genetic architecture of complex traits is a necessary step to understand phenotypic changes in natural, experimental and domestic populations. However, this is still a major challenge for modern genetics, since the estimation of genetic effects tends to be complicated by genetic interactions, which lead to changes in the effect of allelic substitutions depending on the genetic b...
متن کاملDetecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps
High-order epistasis has been observed in many genotype-phenotype maps. These multi-way interactions between mutations may be useful for dissecting complex traits and could have profound implications for evolution. Alternatively, they could be a statistical artifact. High-order epistasis models assume the effects of mutations should add, when they could in fact multiply or combine in some other...
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ژورنال
عنوان ژورنال: Statistical Applications in Genetics and Molecular Biology
سال: 2011
ISSN: 1544-6115,2194-6302
DOI: 10.2202/1544-6115.1603