Search results for "Network Analysi"

showing 10 items of 243 documents

Mapping the scientific research on wine and health (2001-2011)

2013

[EN] There have been a substantial number of studies suggesting possible health benefits from polyphenols in wine, especially red wine. These hypothetical effects, in addition to those of alcohol, are attributed by many to antioxidant and antiinflammatory effects of the polyphenols. The aim of this paper was to map the scientific research on wine and health by using bibliographic analyses of papers published during the period 2002−2011. Papers were published in 535 different journals and in 106 different subject categories, the most productive journals being the Journal of Agricultural and Food Chemistry, Food Chemistry and Molecular Nutrition, and Food Research, and the most productive sub…

WineBiomedical ResearchTECNOLOGIA DE ALIMENTOSbusiness.industrydigestive oral and skin physiologyfood and beveragesWineGeneral ChemistryHealth benefitsBibliometricsCo-word analysisSocial network analysisGeographyAgricultureHealthBibliometricsKeyword analysisHumansFood researchKeyword analysisSocial scienceGeneral Agricultural and Biological SciencesbusinessSocial network analysis
researchProduct

Network Analysis of Platform Ecosystems: The Case of Internet of Things Ecosystem

2015

Software platform providers are often seen as the cornerstone of their business ecosystem, where the other ecosystem players utilize the platform’s standardized components together with complementary components for making applications. These platforms are also becoming a cornerstone of the emerging Internet of Things (IoT) business ecosystem comprised of the companies who provide Internet-enabled devices, applications, connectivity solutions, and the platforms for the IoT usage. While a number of enabling technologies for IoT is available, the question remains what kind of ecosystem emerges around IoT platform providers and whether this ecosystem is evolving in line with the theoretical mod…

World Wide WebEngineeringConsolidation (business)business.industryOrder (exchange)MainstreamCornerstoneEcosystemBusiness ecosystembusinessInternet of ThingsData scienceNetwork analysis
researchProduct

Overlapping community detection versus ground-truth in AMAZON co-purchasing network

2015

International audience; Objective evaluation of community detection algorithms is a strategic issue. Indeed, we need to verify that the communities identified are actually the good ones. Moreover, it is necessary to compare results between two distinct algorithms to determine which is most effective. Classically, validations rely on clustering comparison measures or on quality metrics. Although, various traditional performance measures are used extensively. It appears very clearly that they cannot distinguish community structures with different topological properties. It is therefore necessary to propose an alternative methodology more sensitive to the community structure variations in orde…

[ INFO ] Computer Science [cs]Computer sciencemedia_common.quotation_subject02 engineering and technologycomputer.software_genreMachine learning01 natural sciencesClique percolation method010104 statistics & probability[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringQuality (business)[INFO]Computer Science [cs]0101 mathematicsCluster analysisnetwork analysismedia_commonGround truthoverlapping community networksbusiness.industryCommunity structurePurchasing[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsCommunity structure[SPI.TRON]Engineering Sciences [physics]/Electronicsdetection algorithmsoverlap- ping community networks020201 artificial intelligence & image processingAlgorithm designArtificial intelligenceData miningbusinesscomputerNetwork analysis
researchProduct

Exploring the network of odours shared by an aroma blending mixture

2019

International audience; The first step of odour perception is an interaction between odorants and olfactory receptors [1]. Moreover, odours perceived in our environment are mainly the result of mixtures of odorants; however, the specific mechanisms involved in their processing remain poorly understood [2]. In previous studies performed at INRA-CSGA [3], the perception of a mixture of ethyl isobutyrate (Et-iB, strawberry-like odour, STR) and ethyl maltol (Et-M, caramel-like odour, CAR) was investigated in comparison with a reference (allyl hexanoate, Al-H, pineapple-like odour, PNA) chosen to evoke an odour close to the one expected in the mixture. The binary specific mixture of Et-iB and Et…

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.IDA]Life Sciences [q-bio]/Food engineeringaroma blending mixtureodors[SDV.IDA] Life Sciences [q-bio]/Food engineering[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionnetwork analysisodorants
researchProduct

Pharmacogenomic identification of small molecules for lineage specific manipulation of subventricular zone germinal activity

2017

Strategies for promoting neural regeneration are hindered by the difficulty of manipulating desired neural fates in the brain without complex genetic methods. The subventricular zone (SVZ) is the largest germinal zone of the forebrain and is responsible for the lifelong generation of interneuron subtypes and oligodendrocytes. Here, we have performed a bioinformatics analysis of the transcriptome of dorsal and lateral SVZ in early postnatal mice, including neural stem cells (NSCs) and their immediate progenies, which generate distinct neural lineages. We identified multiple signaling pathways that trigger distinct downstream transcriptional networks to regulate the diversity of neural cells …

animal diseasesGene Identification and AnalysisGenetic NetworksAPC-PAIDMiceNeural Stem CellsCell SignalingLateral VentriclesDatabases GeneticGene Regulatory NetworksBiology (General)WNT Signaling CascadeNotch SignalingOrganic CompoundsBB/M029379/1GenomicsSignaling CascadesOligodendrogliaChemistryBBSRCPhysical Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Network AnalysisNeurovetenskaperSignal TransductionResearch ArticleBiotechnologyComputer and Information SciencesSignal InhibitionQH301-705.5NeurogenesisResearch and Analysis MethodsSmall Molecule LibrariesGenetics/dk/atira/pure/core/subjects/biomedicalsciencesAnimalsAdultsCell LineageComputer Simulation[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Molecular Biology TechniquesMolecular BiologyOrganic ChemistryGene MappingChemical CompoundsNeurosciencesBiology and Life SciencesRCUKBiomedical SciencesCell BiologyNerve RegenerationSignaling NetworksGene Expression Regulationnervous systemSmall MoleculesAge GroupsPeople and PlacesPopulation GroupingsTranscriptome
researchProduct

Redes, complejidad y Arqueología: otra forma de ver el pasado

2018

La ciencia moderna se ha benefi ciado de los intentos del positivismo y neopositivismo por explicar el mundo sensible, que han generando grandes avances en el mundo de la ciencia, pero que han tenido problemas a la hora de plantear una “Teoría del Todo”. Hay que destacar el hecho de que toda explicación de la realidad es siempre un modelo simplifi cado, que se basa en alguna teoría. Durante los años 90, con el fi n de avanzar en la comprensión de la realidad empírica, comenzaron su andadura lo que se conoce co mo Ciencias de la Complejidad. A través de ellas se pretende explicar una serie de fenómenos comúnes a todos los sistemas formados por elementos interrelacionados, que como un conjunt…

análisis de redes socialesUNESCO::HISTORIAArqueología SNA complejidad redesarqueologíaredes sociales:HISTORIA [UNESCO]Redes Social Network Analysis
researchProduct

Experimental evaluation of topological-based fitness functions to detect complexes in PPI networks

2012

The detection of groups of proteins sharing common biological features is an important research issue, intensively investigated in the last few years, because of the insights it can give in understanding cell behavior. In this paper we present an extensive experimental evaluation campaign aiming at exploring the capability of Genetic Algorithms (GAs) to find clusters in protein-protein interaction networks, when different topological-based fitness functions are employed. A complete experimentation on the yeast protein-protein interaction network, along with a comparative evaluation of the effectiveness in detecting true complexes on the yeast and human networks, reveals GAs as a feasible an…

business.industryComputer scienceCellMachine learningcomputer.software_genreTopologyYeastBioinformatics network analysisComputingMethodologies_PATTERNRECOGNITIONmedicine.anatomical_structureInteraction networkGenetic algorithmmedicineArtificial intelligencebusinesscomputerProceedings of the 14th annual conference on Genetic and evolutionary computation
researchProduct

Multi-functional Protein Clustering in PPI Networks

2008

Protein-Protein Interaction (PPI) networks contain valuable information for the isolation of groups of proteins that participate in the same biological function. Many proteins play different roles in the cell by taking part in several processes, but isolating the different processes in which a protein is involved is often a difficult task. In this paper we present a method based on a greedy local search technique to detect functional modules in PPI graphs. The approach is conceived as a generalization of the algorithm PINCoC to generate overlapping clusters of the interaction graph in input. Due to this peculiarity, multi-facets proteins are allowed to belong to different groups correspondi…

business.industryComputer scienceFunctional proteinGeneralizationA proteinPattern recognitionTask (project management)Bioinformatics network analysisLocal search (optimization)Artificial intelligenceIsolation (database systems)businessCluster analysisNetwork analysis
researchProduct

Correcting for the study bias associated with protein-protein interaction measurements reveals differences between protein degree distributions from …

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 toward disease proteins, which tend to have been studied more often …

cancer genesstudy biasGeneticsprotein–protein interactionsdegree distributionnetwork analysisOriginal ResearchFrontiers in genetics
researchProduct

Structural and Gelation Characteristics of Metallo-Supramolecular Polymer Model-Network Hydrogels Probed by Static and Dynamic Light Scattering

2021

Supramolecular polymer gels are a promising class of materials whose polymer components are connected by transient bonds such as metal–ligand interactions, thereby spanning a dynamic network throug...

chemistry.chemical_classificationMaterials scienceDynamic network analysisPolymers and PlasticsOrganic Chemistry02 engineering and technologyPolymer010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesInorganic ChemistrySupramolecular polymerschemistryDynamic light scatteringChemical physicsSelf-healing hydrogelsMaterials ChemistryModel networkTransient (oscillation)0210 nano-technologyMacromolecules
researchProduct