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MicroRNAs profiles in seminal plasma: a bioinformatic insight into pathways and gene networks involved in non-obstructive azoospermia (NOA). [PDF]
Asian J AndrolMaldonado G, Marconi M, Moreno RD.
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Journal of Bioinformatics and Computational Biology, 2013
The methods for constructing "chaotic" nonlinear systems of differential equations modeling gene networks of arbitrary structure and dimensionality with various types of symmetry are considered. It has been shown that an increase in modality of the functions describing the control of gene expression efficiency allows for a decrease in the ...
Vitali A. Likhoshvai +3 more
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The methods for constructing "chaotic" nonlinear systems of differential equations modeling gene networks of arbitrary structure and dimensionality with various types of symmetry are considered. It has been shown that an increase in modality of the functions describing the control of gene expression efficiency allows for a decrease in the ...
Vitali A. Likhoshvai +3 more
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Journal of Theoretical Biology, 1986
A model is presented for the formation of temporal and spatial patterns of cell types during the development of organisms. It is demonstrated that very simple random networks of interactions among genes that affect expression may lead to the autonomous development of patterns of cell types. It is required that the networks contain active feedback loops
E R, Jackson, D, Johnson, W G, Nash
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A model is presented for the formation of temporal and spatial patterns of cell types during the development of organisms. It is demonstrated that very simple random networks of interactions among genes that affect expression may lead to the autonomous development of patterns of cell types. It is required that the networks contain active feedback loops
E R, Jackson, D, Johnson, W G, Nash
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Identifying Gene Network Rewiring by Integrating Gene Expression and Gene Network Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018Exploring the rewiring pattern of gene regulatory networks between different pathological states is an important task in bioinformatics. Although a number of computational approaches have been developed to infer differential networks from high-throughput data, most of them only focus on gene expression data.
Ting Xu +3 more
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From gene networks to brain networks
Nature Neuroscience, 2003The brain's structural organization is so complex that 2,500 years of analysis leaves pervasive uncertainty about (i) the identity of its basic parts (regions with their neuronal cell types and pathways interconnecting them), (ii) nomenclature, (iii) systematic classification of the parts with respect to topographic relationships and functional systems
Mihail, Bota +2 more
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2012
With the advent of microarrays and next-generation biotechnologies, the use of gene expression data has become ubiquitous in biological research. One potential drawback of these data is that they are very rich in features or genes though cost considerations allow for the use of only relatively small sample sizes. A useful way of getting at biologically
Reuben, Thomas, Christopher J, Portier
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With the advent of microarrays and next-generation biotechnologies, the use of gene expression data has become ubiquitous in biological research. One potential drawback of these data is that they are very rich in features or genes though cost considerations allow for the use of only relatively small sample sizes. A useful way of getting at biologically
Reuben, Thomas, Christopher J, Portier
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On the Sparse Reconstruction of Gene Networks
Journal of Computational Biology, 2008We discuss a heuristic method for the sparse reconstruction of gene networks. The method is based on iterative greedy algorithms, and uses gene expression data from microarray experiments. Also, we show numerically that the greedy algorithms are able to give good approximative solutions to the sparse reconstruction problem even in the presence of ...
Mircea Andrecut, Stuart A. Kauffman
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International Journal of Actor-Network Theory and Technological Innovation, 2017
Innovations in biomedical research have the potential to transform the healthcare diagnostics. Human genomics research is another approach which provides new tools and techniques by which life science researchers hope will help in predicting susceptibility towards common diseases.
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Innovations in biomedical research have the potential to transform the healthcare diagnostics. Human genomics research is another approach which provides new tools and techniques by which life science researchers hope will help in predicting susceptibility towards common diseases.
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Controllability of Network: Identification of Controller Genes in a Gene–Gene Interaction Network
2018Lung cancer is the one of the most deadly diseases because of its constant change in biological behavior with respect to different infected patients. So, identification of genes responsible for lung cancer is a major challenging task. This detection of genes can be done using gene–gene interaction network where each node represents a specific gene ...
Anjan Kumar Payra +2 more
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