Results 221 to 230 of about 158,650 (268)
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Pharmacogenomics, 2002
The inference of genetic interactions from measured expression data is one of the most challenging tasks of modern functional genomics. When successful, the learned network of regulatory interactions yields a wealth of useful information. An inferred genetic network contains information about the pathway to which a gene belongs and which genes it ...
E P, van Someren +3 more
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The inference of genetic interactions from measured expression data is one of the most challenging tasks of modern functional genomics. When successful, the learned network of regulatory interactions yields a wealth of useful information. An inferred genetic network contains information about the pathway to which a gene belongs and which genes it ...
E P, van Someren +3 more
openaire +2 more sources
Genetic Models in Pathogenesis
Annual Review of Genetics, 2004▪ Abstract To decipher the complexity of host-pathogen interactions the widest possible range of model hosts and of analytical methods is required. As some virulence mechanisms and certain host responses have been conserved throughout evolution, even simple organisms can be used as model hosts to help our understanding of infectious diseases.
Elizabeth, Pradel, Jonathan J, Ewbank
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Genetic models of carcinogenesis
Human Pathology, 1983The major genetic models of carcinogenesis are critically reviewed to determine their validity and relevance for clinical and experimental oncologists. Of major concern are the "two-hit" theory of Knudson and the host resistance system of Matsunaga. These models may be used to explain the pathobiologic peculiarities of human neoplasms, particularly ...
R P, Bolande, M J, Vekemans
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Genetic polymorphisms and additive genetic models
Behavior Genetics, 1985The degree of genetic dissimilarity between inbred strains or substrains of mice may be estimated from available data concerning biochemical and immunological polymorphisms. Dissimilarities between substrains are bimodally distributed, suggesting that both genetic drift and contamination are responsible for substrain differences.
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Genetic Programming in Economic Modelling
2005 IEEE Congress on Evolutionary Computation, 2005Typically, economists develop models by first selecting a model structure based on theoretical considerations and equilibrium conditions, followed by parameter estimation from available data. As more and more data become available about economic processes, the question arises whether it is possible to obtain models in which "data speak for themselves",
Korneel Duyvesteyn, Uzay Kaymak
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Empirical Modelling of Genetic Algorithms
Evolutionary Computation, 2001This paper addresses the problem of reliably setting genetic algorithm parameters for consistent labelling problems. Genetic algorithm parameters are notoriously difficult to determine. This paper proposes a robust empirical framework, based on the analysis of factorial experiments.
Richard Myers, Edwin R. Hancock
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Models of Genetic Recombination
Annual Review of Microbiology, 1974It will be my intention to compare established and recently proposed models for . genetic recombination, with special attention to the separate component principles they contain and the function ofthese principles in the various models. As increasing attention has been paid to realistic details of DNA structure and enzymology, recombination models have
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Issues in Mental Health Nursing, 1985
(1985). A Genetic Model of Anxiety. Issues in Mental Health Nursing: Vol. 7, No. 1-4, pp. 159-199.
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(1985). A Genetic Model of Anxiety. Issues in Mental Health Nursing: Vol. 7, No. 1-4, pp. 159-199.
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Genetic models of schizophrenia
Acta Psychiatrica Scandinavica, 1982Multiple threshold models of inheritance are applied to a large sample of Franz Kallmann's (1938) pedigree data on schizophrenia. Paranoid and nonparanoid subtypes are represented in the models at different thresholds on a continuum of genetic‐environmental liability. Single major locus and multifactorial‐polygenic inheritance are ruled out as modes of
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Some Models of Genetic Selection
Biometrics, 1979This paper begins with a description of the classical theory of viability selection in which probabilities that individuals of various genotypes survive are in proportions that do not change with time and are independent of population structure. Salient features of viability selection with one and two loci are reviewed.
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