Results 11 to 20 of about 18,441,004 (311)

A Genetic Model of the Connectome [PDF]

Neuron, 2020
The connectomes of organisms of the same species show remarkable architectural and often local wiring similarity, raising the question: where and how is neuronal connectivity encoded? Here, we start from the hypothesis that the genetic identity of neurons guides synapse and gap-junction formation and show that such genetically driven wiring predicts ...
Barabási, Dániel L., Barabási, Albert-László   +1 more
openaire   +3 more sources

Genetic risks and genetic model specification [PDF]

Journal of Theoretical Biology, 2016
Genetic risks and genetic models are often used in design and analysis of genetic epidemiology studies. A genetic model is defined in terms of two genetic risk measures: genotype relative risk and odds ratio. The impacts of choosing a risk measure on the resulting genetic models are studied in the power to detect association and deviation from Hardy ...
Gang, Zheng, Wei, Zhang, Jinfeng, Xu, Ao, Yuan, Qizhai, Li, Joseph L, Gastwirth   +5 more
openaire   +4 more sources

Genetics in non-genetic model systems [PDF]

Current Opinion in Neurobiology, 2012
The past few decades have seen the field of genetic engineering evolve at a rapid pace, with neuroscientists now equipped with a wide range of tools for the manipulation of an animal's genome in order to study brain function. However, the number of species to which these technologies have been applied, namely the fruit fly, C.
Lois, Carlos, Groves, James O.
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Genetic Models of Migraine [PDF]

Archives of Neurology, 2007
Migraine is a common, disabling, complex brain disorder, presenting in attacks that may have up to 3 phases: a prodromal phase, the aura phase, and the headache phase. The pathogenesis of the aura and headache phases is reasonably well understood, but the mechanism by which migraine attacks are triggered is unknown.
Rob C G, van de Ven, Simon, Kaja, Jaap J, Plomp, Rune R, Frants, Arn M J M, van den Maagdenberg, Michel D, Ferrari   +5 more
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Genetic Drift in Genetic Algorithm Selection Schemes [PDF]

, 1999
A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection,
Prügel-Bennett, A., Rogers, A.
core   +2 more sources

Genetic models of fibrillinopathies

GENETICS, 2023
Abstract The fibrillinopathies represent a group of diseases in which the 10–12 nm extracellular microfibrils are disrupted by genetic variants in one of the genes encoding fibrillin molecules, large glycoproteins of the extracellular matrix. The best-known fibrillinopathy is Marfan syndrome, an autosomal dominant condition affecting the
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A MODEL FOR THE GENETICS OF HANDEDNESS [PDF]

Genetics, 1972
ABSTRACT Experimental data and theoretical work on the inheritance of handedness and cerebral dominance are reviewed. A two-gene, four-allele model, one locus pertaining to left or right hemispheric dominance and the other to contralateral or ipsilateral hand control relative to the dominant hemisphere, is constructed. It is in excellent
J, Levy, T, Nagylaki
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A survey of genetic improvement search spaces [PDF]

, 2019
Genetic Improvement (GI) uses automated search to improve existing software. Most GI work has focused on empirical studies that successfully apply GI to improve software's running time, fix bugs, add new features, etc. There has been little research into
Alexander, B, Petke, Justyna, Alexander, Brad, Petke, J, White, DR, Wagner, M., Barr, ET, White, David R, Wagner, M, Barr, Earl T, Alexander, B., White, D.R., Petke, J., Barr, E.T., Brownlee, AEI, Brownlee, Alexander E I, Wagner, Markus, Brownlee, A.E.I.   +17 more
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A COMPARISON OF GENETIC NETWORK MODELS [PDF]

Biocomputing 2001, 2000
With the completion of the sequencing of the human genome, the need for tools capable of unraveling the interaction and functionality of genes becomes extremely urgent. In answer to this quest, the advent of microarray technology provides the opportunity to perform large scale gene expression analyses.
Lodewyk F. A. Wessels, Eugene P. van Someren, Marcel J. T. Reinders   +2 more
openaire   +3 more sources

A Social Based Model For Genetic Algorithms. [PDF]

, 2007
Genetic algorithms (GAs), as a general search model, have proved its success in several applications, however, recently, several researchers have argued that they have slow convergence; this slowness is due to the randomness in all their operations ...
Khader, Ahamad Tajudin, AL-Madi, Nagham Azmi   +1 more
core   +1 more source