Results 301 to 310 of about 25,628,644 (319)
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Genetic programming of development: A model

Differentiation, 1986
Genetic programming of the developmental processes in multicellular organisms is proposed to be so intricate and vitally important that a large set of genes is dedicated solely to this end. It is further proposed that this set can be compartmentalized into subsets on the basis of the changes in gene activities that occur during ontogenesis, and that ...
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An Introduction to Genetic Algorithms.

Artificial Life, 1997
D. Heiss-Czedik
semanticscholar   +1 more source

On stochastic population models in genetics

Journal of Applied Probability, 1976
Trajstman (1974) has shown that two different population models used to study the number of mutant forms maintained in a population have a certain marginal stationary distribution in common. In this note a general stochastic population model is proposed which subsumes these two models and shows that their transition rates are also related.
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Markov Models in Genetics

2006
Markov chain models have been the most widely used ones in the study of random fluctuations in the genetic compositions of populations over generations. Besides being a convenient theoretical tool, Markov chains have provided rather satisfactory theoretical explanations to some observed long-run phenomena related to the genetic structure of populations.
B. V. Rao, A. Goswami
openaire   +2 more sources

Resolving genetic heterogeneity in cancer

Nature reviews genetics, 2019
S. Turajlic   +3 more
semanticscholar   +1 more source

Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization

Evolutionary Computation, 1993
H. Mühlenbein, Dirk Schlierkamp-Voosen
semanticscholar   +1 more source

Deconstructing cortical folding: genetic, cellular and mechanical determinants

Nature Reviews Neuroscience, 2019
Cristina Llinares-Benadero, V. Borrell
semanticscholar   +1 more source

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