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Accessibility percolation on Cartesian power graphs
by
Krug, Joachim
, Schmiegelt, Benjamin
in
Accessibility
/ Alleles
/ Applications of Mathematics
/ Cartesian coordinates
/ Fitness
/ Gene mapping
/ Genotype
/ Genotypes
/ Graphs
/ Hypercubes
/ Lower bounds
/ Mathematical and Computational Biology
/ Mathematics
/ Mathematics and Statistics
/ Mutation
/ Percolation
/ Probability
/ Random variables
/ Real numbers
/ Reproductive fitness
2023
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Accessibility percolation on Cartesian power graphs
by
Krug, Joachim
, Schmiegelt, Benjamin
in
Accessibility
/ Alleles
/ Applications of Mathematics
/ Cartesian coordinates
/ Fitness
/ Gene mapping
/ Genotype
/ Genotypes
/ Graphs
/ Hypercubes
/ Lower bounds
/ Mathematical and Computational Biology
/ Mathematics
/ Mathematics and Statistics
/ Mutation
/ Percolation
/ Probability
/ Random variables
/ Real numbers
/ Reproductive fitness
2023
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Do you wish to request the book?
Accessibility percolation on Cartesian power graphs
by
Krug, Joachim
, Schmiegelt, Benjamin
in
Accessibility
/ Alleles
/ Applications of Mathematics
/ Cartesian coordinates
/ Fitness
/ Gene mapping
/ Genotype
/ Genotypes
/ Graphs
/ Hypercubes
/ Lower bounds
/ Mathematical and Computational Biology
/ Mathematics
/ Mathematics and Statistics
/ Mutation
/ Percolation
/ Probability
/ Random variables
/ Real numbers
/ Reproductive fitness
2023
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Journal Article
Accessibility percolation on Cartesian power graphs
2023
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Overview
A fitness landscape is a mapping from a space of discrete genotypes to the real numbers. A path in a fitness landscape is a sequence of genotypes connected by single mutational steps. Such a path is said to be accessible if the fitness values of the genotypes encountered along the path increase monotonically. We study accessible paths on random fitness landscapes of the House-of-Cards type, on which fitness values are independent, identically and continuously distributed random variables. The genotype space is taken to be a Cartesian power graph
A
L
, where
L
is the number of genetic loci and the allele graph
A
encodes the possible allelic states and mutational transitions on one locus. The probability of existence of accessible paths between two genotypes at a distance linear in
L
displays a transition from 0 to a positive value at a threshold
β
c
for the fitness difference between the initial and final genotype. We derive a lower bound on
β
c
for general
A
and show that this bound is tight for a large class of allele graphs. Our results generalize previous results for accessibility percolation on the biallelic hypercube, and compare favorably to published numerical results for multiallelic Hamming graphs.
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