Search results for " network"

showing 10 items of 6428 documents

2015

Protein-protein interaction (PPI) networks are associated with multiple types of biases partly rooted in technical limitations of the experimental techniques. Another source of bias are the different frequencies with which proteins have been studied for interaction partners. It is generally believed that proteins with a large number of interaction partners tend to be essential, evolutionarily conserved and involved in disease. It has been repeatedly reported that proteins driving tumor formation have a higher number of PPI partners. However, it has been noticed before that the degree distribution of PPI networks is biased towards disease proteins, which tend to have been studied more often …

0303 health sciencesCancerComputational biologyDiseaseBiologyBioinformaticsDegree distributionmedicine.diseaseDegree (music)Tumor formationProtein–protein interaction03 medical and health sciences0302 clinical medicinePpi networkGeneticsmedicineMolecular Medicine030217 neurology & neurosurgeryGenetics (clinical)Function (biology)030304 developmental biologyFrontiers in Genetics
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Human Pluripotent Stem Cell-Derived Neuronal Networks:Their Electrical Functionality and Usability for Modelling and Toxicology

2011

Micro electrode array (MEA)-based platforms have been used to study neuronal networks for decades. The used cells have, for the most part, been rodent primary neurons. The gained knowledge has indeed increased the understanding of neuronal network development and maturation both in vitro and in vivo. If aiming to understand the development of human brain, however, the used cell type should preferably be of human origin due to difficult interpolation from the rodent cell data. In addition, the development of functional human neuronal networks would open up a new era for, e.g., toxicology testing, drug screening and disease modelling. The use of MEA with bioelectrically active cells was first…

0303 health sciencesCell typeCellHuman brainBiologyEmbryonic stem cellIn vitroToxicology03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureCell culturemedicineBiological neural networkInduced pluripotent stem cellNeuroscience030217 neurology & neurosurgery030304 developmental biology
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Graph-based network analysis of transcriptional regulation pattern divergence in duplicated yeast gene pairs

2019

The genome and interactome of Saccharomyces cerevisiae have been characterized extensively over the course of the past few decades. However, despite many insights gained over the years, both functional studies and evolutionary analyses continue to reveal many complexities and confounding factors in the construction of reliable transcriptional regulatory network models. We present here a graph-based technique for comparing transcriptional regulatory networks based on network motif similarity for gene pairs. We construct interaction graphs for duplicated transcription factor pairs traceable to the ancestral whole-genome duplication as well as other paralogues in Saccharomyces cerevisiae. We c…

0303 health sciencesGene regulatory networkComputational biologyBiologyGenomeInteractomeGenetic divergence03 medical and health sciencesNetwork motif0302 clinical medicineGene duplicationDivergence (statistics)Gene030217 neurology & neurosurgery030304 developmental biologyProceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics
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Network motif-based analysis of regulatory patterns in paralogous gene pairs

2020

Current high-throughput experimental techniques make it feasible to infer gene regulatory interactions at the whole-genome level with reasonably good accuracy. Such experimentally inferred regulatory networks have become available for a number of simpler model organisms such as S. cerevisiae, and others. The availability of such networks provides an opportunity to compare gene regulatory processes at the whole genome level, and in particular, to assess similarity of regulatory interactions for homologous gene pairs either from the same or from different species. We present here a new technique for analyzing the regulatory interaction neighborhoods of paralogous gene pairs. Our central focu…

0303 health sciencesGenomeGene regulatory networkComputational BiologyWhole genome duplicationSaccharomyces cerevisiaeComputational biologyParalogous GeneBiologyBiochemistryComputer Science ApplicationsEvolution Molecular03 medical and health sciencesNetwork motif0302 clinical medicineGene DuplicationEscherichia coliAnimalsGene Regulatory NetworksCaenorhabditis elegansMolecular BiologyGene030217 neurology & neurosurgeryTranscription Factors030304 developmental biologyJournal of Bioinformatics and Computational Biology
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Stage-specific control of oligodendrocyte survival and morphogenesis by TDP-43

2021

AbstractGeneration of oligodendrocytes in the adult brain enables both adaptive changes in neural circuits and regeneration of myelin sheaths destroyed by injury, disease, and normal aging. This transformation of oligodendrocyte precursor cells (OPCs) into myelinating oligodendrocytes requires processing of distinct mRNAs at different stages of cell maturation. Although mislocalization and aggregation of the RNA binding protein TDP-43 occur in both neurons and glia in neurodegenerative diseases, the consequences of TDP-43 loss within different stages of the oligodendrocyte lineage are not well understood. By performing stage-specific genetic inactivation of Tardbp in vivo, we show that olig…

0303 health sciencesLineage (genetic)Regeneration (biology)Morphogenesisnutritional and metabolic diseasesRNA-binding proteinBiologyCell MaturationOligodendrocytenervous system diseasesCell biology03 medical and health sciencesExon0302 clinical medicinemedicine.anatomical_structuremental disordersmedicineBiological neural network030217 neurology & neurosurgery030304 developmental biology
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Betweenness Centrality for Networks with Non-Overlapping Community Structure

2018

Evaluating the centrality of nodes in complex networks is one of the major research topics being explored due to its wide range of applications. Among the various measures that have been developed over the years, Betweenness centrality is one of the most popular. Indeed, it has proved to be efficient in many real-world situations. In this paper, we propose an extension of the Betweenness centrality designed for networks with nonoverlapping community structure. It is a linear combination of the so-called “local” and “global” Betweenness measures. The Local measure takes into account the influence of a node at the community level while the global measure depends only on the interactions betwe…

0303 health sciencesTheoretical computer scienceComputer scienceNode (networking)Community structure[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Scale (descriptive set theory)Complex network01 natural sciencesMeasure (mathematics)010305 fluids & plasmas03 medical and health sciencesBetweenness centrality0103 physical sciencesCentralityLinear combinationComputingMilieux_MISCELLANEOUS030304 developmental biology
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2020

Hierarchy and centrality are two popular notions used to characterize the importance of entities in complex systems. Indeed, many complex systems exhibit a natural hierarchical structure, and centrality is a fundamental characteristic allowing to identify key constituents. Several measures based on various aspects of network topology have been proposed in order to quantify these concepts. While numerous studies have investigated whether centrality measures convey redundant information, how centrality and hierarchy measures are related is still an open issue. In this paper, we investigate the association between centrality and hierarchy using several correlation and similarity evaluation mea…

0303 health sciencesTransitive relationTheoretical computer scienceGeneral Computer ScienceComputer scienceGeneral EngineeringComplex system02 engineering and technologyComplex networkNetwork topologyNetwork density03 medical and health sciences020204 information systems0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceCentrality030304 developmental biologyIEEE Access
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The social networks of young people with intellectual disabilities during the On-Campus supported adult education programme

2016

<p>This article describes the social networks of four young people with intellectual disabilities in supported adult education, focusing on their inclusion in school and leisure environments. A multiple case study approach with content analysis was used. Data were collected through interviews with young people and their family members, relationship maps, observation journals and notes from Personal Futures Planning meetings. Relationships with family members, other relatives and neighbours were close. One participant had a friend of her own age with no disabilities. The other three had varying, superficial peer relationships and friends of the family. All the participants had heteroge…

030506 rehabilitationsocial networksmedia_common.quotation_subjecteducationPeer relationshipsDevelopmental psychology03 medical and health sciencesAdult educationIntellectual disabilitymedicine0501 psychology and cognitive sciencesta51610. No inequalitymedia_commonConcept map4. Education05 social sciencesmedicine.diseaseFriendshipinclusionContent analysisintellectual disabilityfriendship516 Educational sciences0305 other medical sciencePsychologySocial psychologyInclusion (education)050104 developmental & child psychologyQualitative researchrelationship maps
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Improving Speaker-Independent Lipreading with Domain-Adversarial Training

2017

We present a Lipreading system, i.e. a speech recognition system using only visual features, which uses domain-adversarial training for speaker independence. Domain-adversarial training is integrated into the optimization of a lipreader based on a stack of feedforward and LSTM (Long Short-Term Memory) recurrent neural networks, yielding an end-to-end trainable system which only requires a very small number of frames of untranscribed target data to substantially improve the recognition accuracy on the target speaker. On pairs of different source and target speakers, we achieve a relative accuracy improvement of around 40% with only 15 to 20 seconds of untranscribed target speech data. On mul…

030507 speech-language pathology & audiology03 medical and health sciencesAdversarial systemRecurrent neural networkComputer scienceSpeech recognitionFeed forwardTraining (meteorology)0305 other medical scienceAccuracy improvementIndependence (probability theory)Domain (software engineering)Interspeech 2017
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Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition

2016

030507 speech-language pathology & audiology03 medical and health sciencesArtificial neural networkTime delay neural networkComputer scienceSpeech recognition0206 medical engineering02 engineering and technology0305 other medical science020601 biomedical engineeringInterspeech 2016
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