Results 1 - 10
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153
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract
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Cited by 122 (0 self)
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-ordinated decision making, and decentralized execution, which provide a superior social morphology for all human action. Networks de-centre performance and share decision-making. By denition, a network has no centre. It works on a binar y logic: inclusion/exclusion. All there is in the network is useful and necessar
Clathrin functions in the absence of heterotetrameric adaptors and AP180-related proteins in yeast
- Embo J
, 1999
"... The major coat proteins of clathrin-coated vesicles are the clathrin triskelion and heterotetrameric associated protein (AP) complexes. The APs are thought to be involved in cargo capture and recruitment of clathrin to the membrane during endocytosis and sorting in the trans-Golgi network/endosomal ..."
Abstract
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Cited by 33 (0 self)
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function is dependent on the heterotetrameric APs and/or AP180 homologs, yeast strains containing multiple disruptions in AP subunit genes, as well as in the two YAP180 genes, were constructed. Surprisingly, the AP deletion strains did not display the phenotypes associated with clathrin deficiency
An effective structure learning method for constructing gene networks
- Bioinformatics
, 2006
"... Motivation: Bayesian network methods have shown promise in gene regulatory network reconstruction because of their capability of capturing causal relationships between genes and handling data with noises found in biological experiments. The problem of learning network structures, however, is NP hard ..."
Abstract
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Cited by 31 (1 self)
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hard. Consequently, heuristic methods such as hill climbing are used for structure learning. For networks of a moderate size, hill climbing methods are not computationally efficient. Furthermore, relatively low accuracy of the learned structures may be observed. The purpose of this paper is to present
Environmental and Genetic Determinants of Colony Morphology in Yeast
, 2010
"... Nutrient stresses trigger a variety of developmental switches in the budding yeast Saccharomyces cerevisiae. One of the least understood of such responses is the development of complex colony morphology, characterized by intricate, organized, and strain-specific patterns of colony growth and archite ..."
Abstract
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Cited by 4 (0 self)
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nitrogen source is the primary trigger for the colony morphology response in budding yeast. Using knockout mutants and transposon-mediated mutagenesis, we demonstrate that two key signaling networks regulating this response are the filamentous growth MAP kinase cascade and the Ras-cAMP-PKA pathway. We
Biobibliometrics: information retrieval and visualization from co-occurrences of gene names in Medline abstracts
- Pac. Symp. Biocomput
, 2000
"... Successful information retrieval from biomedical literature databases is becoming increasingly difficult. We have developed a prototype system for retrieving and visualizing information from literature and genomic databases using gene names. The premise of our work is that, if two genes have a relat ..."
Abstract
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Cited by 91 (0 self)
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Successful information retrieval from biomedical literature databases is becoming increasingly difficult. We have developed a prototype system for retrieving and visualizing information from literature and genomic databases using gene names. The premise of our work is that, if two genes have a
Gene Coexpression Networks Reveal Key Drivers of Phenotypic
"... A functional understanding of processes involved in adaptive divergence is one of the awaiting opportunities afforded by high-throughput transcriptomic technologies. Functional analysis of coexpressed genes has succeeded in the biomedical field in identifying key drivers of disease pathways. However ..."
Abstract
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. However, in ecology and evolutionary biology, functional interpre-tation of transcriptomic data is still limited. Here, we used Weighted Gene Co-Expression Network Analysis (WGCNA) to identify modules of coexpressed genes in muscle and brain tissue of a lake whitefish backcross progeny. Modules were
Gene Coexpression Networks Reveal Key Drivers of Phenotypic
"... A functional understanding of processes involved in adaptive divergence is one of the awaiting opportunities afforded by high-throughput transcriptomic technologies. Functional analysis of coexpressed genes has succeeded in the biomedical field in identifying key drivers of disease pathways. However ..."
Abstract
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. However, in ecology and evolutionary biology, functional interpre-tation of transcriptomic data is still limited. Here, we used Weighted Gene Co-Expression Network Analysis (WGCNA) to identify modules of coexpressed genes in muscle and brain tissue of a lake whitefish backcross progeny. Modules were
Gene Coexpression Networks Reveal Key Drivers of Phenotypic
"... A functional understanding of processes involved in adaptive divergence is one of the awaiting opportunities afforded by high-throughput transcriptomic technologies. Functional analysis of coexpressed genes has succeeded in the biomedical field in identifying key drivers of disease pathways. However ..."
Abstract
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. However, in ecology and evolutionary biology, functional interpre-tation of transcriptomic data is still limited. Here, we used Weighted Gene Co-Expression Network Analysis (WGCNA) to identify modules of coexpressed genes in muscle and brain tissue of a lake whitefish backcross progeny. Modules were
On the Source of Mutational Robustness in Genetic Networks of Yeast
"... Resilience of an organisms physiological and developmental processes against mutations can have two principal causes, the first being overlapping gene functions. In this case, loss-offunction mutations in one gene will have little phenotypic effects if one or more other genes with similar functions ..."
Abstract
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serve as a back-up. The second cause stems from interactions among genes with unrelated functions, and has been documented in metabolic and regulatory gene networks. The subject of this paper is to analyze, on a genome-wide scale, which of these causes of robustness is more important. To this end, I use
Inferring Gene-Phenotype Associations via Global Protein Complex Network Propagation
"... Background: Phenotypically similar diseases have been found to be caused by functionally related genes, suggesting a modular organization of the genetic landscape of human diseases that mirrors the modularity observed in biological interaction networks. Protein complexes, as molecular machines that ..."
Abstract
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Cited by 7 (1 self)
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Background: Phenotypically similar diseases have been found to be caused by functionally related genes, suggesting a modular organization of the genetic landscape of human diseases that mirrors the modularity observed in biological interaction networks. Protein complexes, as molecular machines
Results 1 - 10
of
153