Co-expression networks
An application of the Shapley value to the analysis of co-expression networks
... a co-expression network. On a co-expression network built over a dataset from the literature, we show that the Shapley value of the coalitional game introduced in the paper (Cesari et ...a ...
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Genetic architecture of wood properties based on association analysis and co-expression networks in white spruce
... Our findings indicate that integration of association mapping and co-expression networks enhances our understanding of complex wood traits. Introduction The usefulness of genome-wide association ...
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Développement d'outils statistiques pour l'analyse de données transcriptomiques par les réseaux de co-expression de gènes
... Identifying clusters of similar nodes of graph is also a hard task. The mere concept of graph clustering hides very difficult issues. As a matter of fact, clustering implies splitting the data into groups that share a ...
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MyoMiner: explore gene co-expression in normal and pathological muscle
... gene co-expression networks between condi- tions – ...the co-expression of a given gene pair is lost, gained, or inverted, as a result of, for example, a pathological genetic mutation ...
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dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data
... The elucidation of gene regulatory networks is one of the major challenges of systems biology. Measurements about genes that are exploited by network inference methods are typically available either in the form of ...
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In vivo neuronal co-expression of mu and delta opioid receptors uncovers new therapeutic perspectives.
... neuronal co-localization throughout the brain. In addition, co-immunoprecipitation experiments uncovered mu-delta close physical vicinity in the hippocampus and hence qualifies the use of the double ...
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Blood co-expression modules identify potential modifier genes of diabetes and lung function in cystic fibrosis
... differential expression analysis RNA was extracted from whole blood samples using the PAXgene Blood RNA kit (#762124, PreAnalytix), according to the manufacturer’s recommendations [ 9 ...differential ...
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en fr Hatred Expression on Social Networks A Case Study L'expression de la haine sur les réseaux sociax : étude de cas
... Social networks have experienced varied uses but also to serious abuses social web has been taken over by radical and other "trolls", who spend their time content as an incitement to hatred? relating to ...
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Co-design of on-chip caches and networks for scalable shared-memory many-core CMPs
... The directory protocol does not require broadcast medium or global request orde- ring. When the protocol has an additional requirement, the unordered interconnect can[r] ...
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Cepred : Predicting the co-expression patterns of the human intronic microRNAs with their host genes
... and expression remain largely unclear and the identification of the tissues in which a microRNA is expressed is ...high co-expression with its host gene, by doing so, we could infer the tissues in ...
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Gene co-expression analysis unravels a link between C9orf72 and RNA metabolism in myeloid cells
... Interestingly, among the 1794 microarray expres- sion studies from which C9orf72 inverse correlations were calculated, data sets analyzing the transcrip- tomic profile of myeloid cells, in particular acute myeloid ...
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Networks of innovation in IS research: an exploration of the relationship between co-authorship networks and H-family indices
... and co-researchers are often difficult to collect data ...in co-authored citable research artefacts (conference and journal papers, panels, and edited ...produced co-authored research artefacts ...
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From Non-verbal Signals Sequence Mining to Bayesian Networks for Interpersonal Attitudes Expression
... The next step consisted of applying a frequent sequence mining algorithm to each set of segments. We used the Generalized Sequence Pattern (GSP) frequent sequence mining algorithm described in [35]. This algorithm ...
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Principles and Experiments of a Multi-Agent Approach for Large Co-Simulation Networks Initialization
... 4.4 Discussion The main result of these experiments is that the num- ber of timesteps to find a solution does not increase with the size of the network. In other words, the sys- tem scales up to the size of the network ...
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Six homeoproteins directly activate Myod expression in the gene regulatory networks that control early myogenesis.
... Myod expression at ...LacZ expression at E12.5. In two of them, very low expression is detected in myogenic territories at the thoracic and limb levels (Figure 7E, 7Fe,e9,f,f9), while in the third ...
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Co-construction of innovation processes: What types of innovation networks do exist in digital agriculture ?
... These networks have a diversity of interacting purposes, including reducing the dependence of farms on plant protection products, using remote sensing in agriculture to improve yields, the well-being of farmers ...
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Co-expression network analysis identifies gonad- and embryo- associated protein modules in the sentinel species Gammarus fossarum
... Module protein composition and hub proteins provide new insights in the reproductive biology and embryonic developmental processes in Gammarus fossarum. We looked at the predicted bio- logical role of the different ...
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Sesquiterpene-loaded co-polymer hybrid nanoparticle effects on human mast cell surface receptor expression, granule contents, and degranulation
... the expression of genes encoding the subunits of the high affinity immunoglobulin E receptor (FcεR1α, FcεR1β, FcεR1γ) and the stem cell factor receptor (Kit,), suggesting that hybrid NPs could alter mast cell ...
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Event-and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
... neural networks (tens of thousands of neurons) while NEST is designed for very large-scale neural networks (up to ...CPU-GPU co-processing scheme for time- driven ...CPU-GPU co-processing is ...
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Differences in Human Cortical Gene Expression Match the Temporal Properties of Large-Scale Functional Networks
... genetic expression across the whole ...cortical networks and functional connectivity as revealed by brain ...based networks (TBN), resting state networks (RSN), and anatomical networks ...
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