Results 21 to 30 of about 9,816,038 (309)
Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models [PDF]
, 2010 Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Erling Strandberg +21 more
core +1 more source
Graphical chain models for the analysis of complex genetic diseases: an application to hypertension [PDF]
, 2002 A crucial task in modern genetic medicine is the understanding of complex genetic diseases. The main complicating features are that a combination of genetic and environmental risk factors is involved, and the phenotype of interest may be complex ...
Vicard, P., Di Serio, C.
core +1 more source
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 +2 more
openaire +3 more sources
Genetic analysis of environmental variation [PDF]
, 2010 Environmental variation (V-E) in a quantitative trait - variation in phenotype that cannot be explained by genetic variation or identifiable genetic differences - can be regarded as being under some degree of genetic control. Such variation may be either
HAN A. MULDER +5 more
core +1 more source
, 2019 Genetically altered rat and mouse models have been instrumental in the functional analysis of genes in a physiological context. In particular, studies on the renin-angiotensin system (RAS) have profited from this technology in the past. In this review, we summarize the existing animal models for the protective axis of the RAS consisting of angiotensin ...
Alenina, Natalia, Bader, Michael
openaire +2 more sources
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 +17 more
core +1 more source
Joint Modeling of Imaging and Genetics [PDF]
, 2013 We propose a unified Bayesian framework for detecting genetic variants associated with a disease while exploiting image-based features as an intermediate phenotype. Traditionally, imaging genetics methods comprise two separate steps. First, image features are selected based on their relevance to the disease phenotype.
Nematollah Batmanghelich +3 more
openaire +3 more sources
Statistical validation of genetic models
, 2001 Various aspects of statistical validation of genetic models are reviewed. Possible ways of decomposing additive genetic variance over time and ways of comparing predictions at different times are suggested.
Robin Thompson, Thompson, R.
core +1 more source
Genetic model misspecification in genetic association studies [PDF]
BMC Research Notes, 2017 The underlying model of the genetic determinant of a trait is generally not known with certainty a priori. Hence, in genetic association studies, a dominant model might be erroneously modelled as additive, an error investigated previously. We explored this question, for candidate gene studies, by evaluating the sample size required to compensate for ...
Amadou Gaye, Sharon K. Davis
openaire +3 more sources
Discovering predictive variables when evolving cognitive models [PDF]
, 2005 A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters which affect performance on specific tasks; these are the predictive ...
Fernand Gobet +5 more
core +1 more source