Results 11 to 20 of about 5,490,229 (291)
Associative Memory in Gene Regulation Networks. [PDF]
, 2010 The pattern of gene expression in the phenotype of an organism is determined in part by the dynamical attractors of the organism’s gene regulation network. Changes to the connections in this network over evolutionary time alter the adult gene expression pattern and hence the fitness of the organism.
Watson, Richard +3 more
core +3 more sources
Stochastic neural network models for gene regulatory networks [PDF]
, 2003 Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Tian, T., Burrage, K.
core +6 more sources
Extending gene ontology with gene association networks [PDF]
Bioinformatics, 2015 Abstract Motivation: Gene ontology (GO) is a widely used resource to describe the attributes for gene products. However, automatic GO maintenance remains to be difficult because of the complex logical reasoning and the need of biological knowledge that are not explicitly represented in the GO.
Jiajie Peng +4 more
openaire +3 more sources
Network analysis of genes and their association with diseases [PDF]
Gene, 2016 A plethora of network-based approaches within the Systems Biology universe have been applied, to date, to investigate the underlying molecular mechanisms of various human diseases. In the present study, we perform a bipartite, topological and clustering graph analysis in order to gain a better understanding of the relationships between human genetic ...
Panagiota I. Kontou +4 more
openaire +5 more sources
EGAN: exploratory gene association networks [PDF]
Bioinformatics, 2009 Abstract Summary: Exploratory Gene Association Networks (EGAN) is a Java desktop application that provides a point-and-click environment for contextual graph visualization of high-throughput assay results. By loading the entire network of genes, pathways, interactions, annotation terms and literature references directly into memory, EGAN
Jesse Paquette, Taku A. Tokuyasu
openaire +3 more sources
Glial gene networks associated with alcohol dependence [PDF]
Scientific Reports, 2019 Abstract Chronic alcohol abuse alters the molecular structure and function of brain cells. Recent work suggests adaptations made by glial cells, such as astrocytes and microglia, regulate physiological and behavioral changes associated with addiction.
Erickson, Emma K. +3 more
openaire +2 more sources
Network hub-node prioritization of gene regulation with intra-network association [PDF]
BMC Bioinformatics, 2020 Abstract Background To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other
Hung-Ching Chang +3 more
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Identifying disease associated genes by network propagation [PDF]
BMC Systems Biology, 2014 Genome-wide association studies have identified many individual genes associated with complex traits. However, pathway and network information have not been fully exploited in searches for genetic determinants, and including this information may increase our understanding of the underlying biology of common diseases.In this study, we propose a ...
Yu Qian +3 more
openaire +3 more sources
Neural networks for modeling gene-gene interactions in association studies [PDF]
BMC Genetics, 2009 Our aim is to investigate the ability of neural networks to model different two-locus disease models. We conduct a simulation study to compare neural networks with two standard methods, namely logistic regression models and multifactor dimensionality reduction.
Bammann Karin +2 more
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Functional association networks as priors for gene regulatory network inference [PDF]
Bioinformatics, 2014 Abstract Motivation: Gene regulatory network (GRN) inference reveals the influences genes have on one another in cellular regulatory systems. If the experimental data are inadequate for reliable inference of the network, informative priors have been shown to improve the accuracy of inferences.
Matthew Studham +4 more
openaire +5 more sources