Results 11 to 20 of about 25,628,644 (319)
A Genetic Model of the Connectome [PDF]
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 ...
Albert-László Barabási +3 more
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Genetic risks and genetic model specification [PDF]
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 ...
Joseph L. Gastwirth +5 more
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Genetics in non-genetic model systems [PDF]
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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Multimodal deep learning models for early detection of Alzheimer’s disease stage
Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of multiple data modalities can provide a holistic view of AD staging analysis.
Janani Venugopalan +3 more
semanticscholar +1 more source
A MODEL FOR THE GENETICS OF HANDEDNESS [PDF]
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
Jerre Levy, Thomas Nagylaki
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A genetic programming approach to designing convolutional neural network architectures [PDF]
The convolutional neural network (CNN), which is one of the deep learning models, has seen much success in a variety of computer vision tasks. However, designing CNN architectures still requires expert knowledge and a lot of trial and error.
M. Suganuma, S. Shirakawa, T. Nagao
semanticscholar +1 more source
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
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Cytoscape: a software environment for integrated models of biomolecular interaction networks.
Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework.
Paul Shannon +8 more
semanticscholar +1 more source
The combination of increased referral for genetic testing and the current shortage of genetic counselors has necessitated the development and implementation of alternative models of genetic counseling and testing for hereditary cancer assessment.
J. McCuaig +5 more
semanticscholar +1 more source
Genetic models of fibrillinopathies
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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