Search results for " cluster analysis."

showing 10 items of 70 documents

Joint interpretation of seismic refraction tomography and electrical resistivity tomography by cluster analysis to detect buried cavities

2020

Abstract In the last few years, the geophysical methods of seismic refraction tomography (SRT) and electrical resistivity tomography (ERT) are among the most used geophysical techniques for the reconstruction of subsoil geometries, for the investigation of underground cavities and also for the archaeological prospecting. However, the main disadvantage of each geophysical method is the difficulty of final interpretation of the data. In order to eliminate artifacts and generally improve the reliability and accuracy of geophysical interpretation, it is useful to perform a joint approach of different geophysical methods, also introducing the a priori information. In this work, it is shown the i…

010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural sciencesSRT ERT Joint interpretation K-means cluster analysis Modeling CavityInterpretation (model theory)GeophysicsElectrical resistivity and conductivitySettore GEO/11 - Geofisica ApplicataCluster (physics)A priori and a posterioriTomographySeismic refractionElectrical resistivity tomographyJoint (geology)GeologySeismology0105 earth and related environmental sciences
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Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions

2009

46 pages, 4 tables, 6 figures, 3 additinoal files.

0106 biological sciencesMESH: Genome PlantArabidopsis thalianaGene regulatory networkArabidopsis01 natural sciencesTranscriptomeGene Expression Regulation PlantArabidopsisMESH: Gene Expression Regulation DevelopmentalCluster AnalysisGene Regulatory NetworksMESH: ArabidopsisMESH: EcosystemMESH: Models GeneticOligonucleotide Array Sequence AnalysisMESH: Gene Regulatory NetworksGenetics0303 health sciencesMESH: Stress MechanicalbiologyMESH: Genomicsfood and beveragesGene Expression Regulation DevelopmentalGenomicsPhenotypeAlgorithmsGenome PlantMESH: MutationSystems biologyGenomicsMESH: AlgorithmsComputational biologyMESH: Arabidopsis ProteinsMESH: Phenotype03 medical and health sciencesMESH: Gene Expression Profiling[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Gene Expression Regulation PlantEcosystem030304 developmental biologyModels GeneticMicroarray analysis techniquesArabidopsis ProteinsGene Expression ProfilingResearchfungiRobustness (evolution)biology.organism_classificationMESH: Cluster AnalysisGene expression profilingMutationMESH: Oligonucleotide Array Sequence AnalysisStress Mechanical010606 plant biology & botany
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Distinctive Histogenesis and Immunological Microenvironment Based on Transcriptional Profiles of Follicular Dendritic Cell Sarcomas

2017

Abstract Follicular dendritic cell (FDC) sarcomas are rare mesenchymal tumors with variable clinical, morphologic, and phenotypic characteristics. Transcriptome analysis was performed on multiple FDC sarcomas and compared with other mesenchymal tumors, microdissected Castleman FDCs, and normal fibroblasts. Using unsupervised analysis, FDC sarcomas clustered with microdissected FDCs, distinct from other mesenchymal tumors and fibroblasts. The specific endowment of FDC-related gene expression programs in FDC sarcomas emerged by applying a gene signature of differentially expressed genes (n = 1,289) between microdissected FDCs and fibroblasts. Supervised analysis comparing FDC sarcomas with mi…

0301 basic medicineAlgorithms; B7-H1 Antigen; Castleman Disease; Chromatin; Cluster Analysis; Dendritic Cell Sarcoma Follicular; Gene Expression Profiling; Gene Expression Regulation Neoplastic; Humans; Programmed Cell Death 1 Ligand 2 Protein; Programmed Cell Death 1 Receptor; Signal Transduction; T-Lymphocytes Helper-Inducer; T-Lymphocytes Regulatory; Up-Regulation; Gene Regulatory Networks; Molecular Biology; Oncology; Cancer ResearchCancer ResearchProgrammed Cell Death 1 ReceptorDendritic Cell Sarcoma FollicularBiologyT-Lymphocytes RegulatoryB7-H1 AntigenTranscriptome03 medical and health sciencesmedicineCluster AnalysisHumansGene Regulatory NetworksMolecular BiologyRegulation of gene expressionCluster AnalysiGene Regulatory NetworkFollicular dendritic cellsCastleman DiseaseGene Expression ProfilingMesenchymal stem cellT-Lymphocytes Helper-InducerProgrammed Cell Death 1 Ligand 2 Proteinmedicine.diseaseChromatinUp-RegulationAlgorithmGene Expression Regulation NeoplasticGene expression profiling030104 developmental biologyOncologyCancer researchImmunohistochemistrySarcomaAlgorithmsHumanSignal TransductionExtracellular matrix organizationMolecular Cancer Research
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Virus-encoded microRNA contributes to the molecular profile of EBV-positive Burkitt lymphomas

2015

Burkitt lymphoma (BL) is an aggressive neoplasm characterized by consistent morphology and phenotype, typical clinical behavior and distinctive molecular profile. The latter is mostly driven by the MYC over-expression associated with the characteristic translocation (8;14) (q24; q32) or with variant lesions. Additional genetic events can contribute to Burkitt Lymphoma pathobiology and retain clinical significance. A pathogenetic role for Epstein-Barr virus infection in Burkitt lymphomagenesis has been suggested; however, the exact function of the virus is largely unknown. In this study, we investigated the molecular profiles (genes and microRNAs) of Epstein-Barr virus-positive and -negative…

0301 basic medicineBART6; Burkitt lymphoma; EBV; miRNA; pathogenesisEpstein-Barr Virus InfectionsHerpesvirus 4 HumanpathogenesiRNA-binding proteinRNA-Binding ProteinEpstein-Barr Virus Infectionhemic and lymphatic diseasesCluster AnalysisViralOligonucleotide Array Sequence AnalysisGeneticsBART6; Burkitt lymphoma; EBV; miRNA; pathogenesis; Burkitt Lymphoma; Cluster Analysis; Cytoskeletal Proteins; Epstein-Barr Virus Infections; Gene Expression Profiling; Gene Expression Regulation Neoplastic; Gene Expression Regulation Viral; Herpesvirus 4 Human; Host-Pathogen Interactions; Humans; Immunohistochemistry; MicroRNAs; Neoplasm Proteins; Oligonucleotide Array Sequence Analysis; Phospholipase C delta; RNA Viral; RNA-Binding Proteins; Reverse Transcriptase Polymerase Chain Reaction; ras Proteins; OncologyReverse Transcriptase Polymerase Chain ReactionpathogenesisMicrofilament ProteinsIntracellular Signaling Peptides and ProteinsBurkitt lymphomaRNA-Binding ProteinsMicroRNAPhenotypeImmunohistochemistryNeoplasm ProteinsHost-Pathogen InteractionGene Expression Regulation NeoplasticOncologyHost-Pathogen InteractionsRNA ViralHumanResearch PaperGene Expression Regulation ViralBART6BiologySettore MED/08 - Anatomia PatologicaVirusNeoplasm Protein03 medical and health sciencesEBVmicroRNACytoskeletal ProteinmedicineHumansEpstein–Barr virus infectionGenemiRNANeoplasticCluster AnalysiOligonucleotide Array Sequence AnalysiGene Expression ProfilingHerpesvirus 4ras Proteinmedicine.diseaseLymphomaGene expression profilingCytoskeletal ProteinsMicroRNAs030104 developmental biologyGene Expression Regulationras ProteinsRNABART6; EBV; burkitt lymphoma; miRNA; pathogenesisPhospholipase C deltaOncotarget
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Analysis of low-correlated spatial gene expression patterns: A clustering approach in the mouse brain data hosted in the Allen Brain Atlas

2018

The Allen Brain Atlas (ABA) provides a similar gene expression dataset by genome-scale mapping of the C57BL/6J mouse brain. In this study, the authors describe a method to extract the spatial information of gene expression patterns across a set of 1047 genes. The genes were chosen from among the 4104 genes having the lowest Pearson correlation coefficient used to compare the expression patterns across voxels in a single hemisphere for available coronal and sagittal volumes. The set of genes analysed in this study is the one discarded in the article by Bohland et al. , which was considered to be of a lower consistency, not a reliable dataset. Following a normalisation task with a global and …

0301 basic medicineImage registrationGenomicsBiologycomputer.software_genre03 medical and health sciencessymbols.namesake0302 clinical medicineVoxelmedicineCluster analysisSpatial analysisSettore INF/01 - Informaticabusiness.industryBrain atlasPattern recognitionSagittal planePearson product-moment correlation coefficient030104 developmental biologymedicine.anatomical_structuresymbolsMorphometric similarity cluster analysis gene expression patternsComputer Vision and Pattern RecognitionArtificial intelligencebusinesscomputer030217 neurology & neurosurgerySoftware
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Pharmacogenomics of Scopoletin in Tumor Cells

2016

Drug resistance and the severe side effects of chemotherapy necessitate the development of novel anticancer drugs. Natural products are a valuable source for drug development. Scopoletin is a coumarin compound, which can be found in several Artemisia species and other plant genera. Microarray-based RNA expression profiling of the NCI cell line panel showed that cellular response of scopoletin did not correlate to the expression of ATP-binding cassette (ABC) transporters as classical drug resistance mechanisms (ABCB1, ABCB5, ABCC1, ABCG2). This was also true for the expression of the oncogene EGFR and the mutational status of the tumor suppressor gene, TP53. However, mutations in the RAS onc…

0301 basic medicinePharmaceutical ScienceATP-binding cassette transporterDrug resistancePharmacologycoumarinAnalytical Chemistrychemistry.chemical_compound0302 clinical medicineNeoplasmsDrug DiscoveryABC-transportermicroarraysNF-kappa BABCB5Drug Resistance MultipleGene Expression Regulation NeoplasticMolecular Docking SimulationDrug developmentChemistry (miscellaneous)030220 oncology & carcinogenesisherbal medicineMolecular MedicineSignal TransductionTumor suppressor geneProtein Array AnalysisBiologyArticlelcsh:QD241-44103 medical and health scienceslcsh:Organic chemistrymultidrug resistanceCell Line TumorScopoletinHumansPhysical and Theoretical ChemistryTranscription factorScopoletinOncogenePlant ExtractsOrganic ChemistryTranscription Factor RelAphytotherapy030104 developmental biologyArtemisiachemistryDrug Resistance NeoplasmPharmacogeneticsCancer researchABC-transporter; cluster analysis; coumarin; herbal medicine; microarrays; multidrug resistance; phytotherapyATP-Binding Cassette Transporterscluster analysisMolecules
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A Clustering approach for profiling LoRaWAN IoT devices

2019

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…

050101 languages & linguisticsIoTComputer scienceIoT; LoRa; LoRaWAN; machine learning; k-means; anomaly detection; cluster analysisk-means02 engineering and technologyLoRaSilhouette0202 electrical engineering electronic engineering information engineeringProfiling (information science)Wireless0501 psychology and cognitive sciencesCluster analysisbusiness.industryNetwork packetSettore ING-INF/03 - Telecomunicazioni05 social sciencesk-means clusteringanomaly detectionLoRaWANmachine learning020201 artificial intelligence & image processingAnomaly detectionInternet of ThingsbusinessComputer networkcluster analysis
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Analysis of HVSR Data Using a Modified Centroid-Based Algorithm for Near-Surface Geological Reconstruction

2022

Recently, the use of microtremor techniques for subsoil investigation has increased significantly. The HVSR (Horizontal to Vertical Spectral Ratio) technique allows, in many cases, to obtain a seismo-stratigraphic reconstruction of the subsoil and to identify areas with similar seismic behavior. However, the stratigraphic interpretation of the HVSR peaks still remains a subjective choice and linked to a priori information. A non-hierarchical centroid-based algorithm was modified to group HVSR peaks of different measurements that can be attributed to the same generating seismic discontinuity. Some tests performed have shown that the proposed algorithm produces valid results even in the absen…

3D modelHVSRSettore GEO/11 - Geofisica ApplicataGeneral Earth and Planetary Sciencesseismo-stratigraphiccluster analysisHVSR; cluster analysis; seismo-stratigraphic; 3D modelGeosciences; Volume 12; Issue 4; Pages: 147
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Estructura de la bolsa española e introducción del mercado de activos derivados sobre el IBEX-35

2001

-Jose.E.Farinos@uv.es -Matilde.Fernandez@uv.es La controversia acerca de si la implantación y negociación de activos derivados afecta a la estabilidad de los respectivos mercados de contado perdura desde hace más de dos décadas. En este trabajo abordamos la problemática anterior desde una nueva perspectiva. Concretamente, analizamos el impacto que sobre la estructura del mercado bursátil ha podido tener la introducción de los mercados de activos derivados sobre el IBEX-35. Para ello, definimos e identificamos la estructura del mercado bursátil para el periodo de estudio, y, a continuación, analizamos el efecto que sobre la misma ha tenido la aparición de los nuevos mercados de derivados. Nu…

:CIENCIAS ECONÓMICAS::Economía sectorial::Finanzas y seguros [UNESCO]análisis clusterECONOMICSG13ORGANIZATIONAL BEHAVIOR AND HUMAN RESOURCE MANAGEMENTBUSINESS AND INTERNATIONAL MANAGEMENTUNESCO::CIENCIAS ECONÓMICAS::Economía sectorial::Finanzas y segurosestructura mercado bursátilstock market structureestructura mercado bursátil introducción mercados derivados distancia estadística análisis cluster stock market structure derivatives markets introduction statistical distance cluster analysisjel:G13Estructura mercado bursátil; Introducción mercados derivados; Distancia estadística; Análisis clusterjel:G10FINANCIAL ECONOMICSdistancia estadísticaderivatives markets introductionstatistical distanceG10introducción mercados derivadosINDUSTRIAL RELATIONS AND LABORSTRATEGY AND MANAGEMENTcluster analysis
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Subtyping treatment-seeking gaming disorder patients

2021

Abstract Background and aims Gaming Disorder (GD) is characterized by a pattern of persistent and uncontrolled gaming behavior that causes a marked impairment in important areas of functioning. The evolution of the worldwide incidence of this disorder warrants further studies focused on examining the existence of different subtypes within clinical samples, in order to tailor treatment. This study explored the existence of different profiles of patients seeking treatment for GD through a data-driven approach. Methods The sample included n = 107 patients receiving treatment for GD (92% men and 8% women) ranging between 14 and 60 years old (mean age = 24.1, SD = 10). A two-step clustering anal…

AdultMalePsychology PathologicalAdolescentmedia_common.quotation_subjectMedicine (miscellaneous)Dysfunctional familyToxicologyDisease clusterPersonality DisordersDSM-5Young AdultCluster AnalysisHumansPersonalityMedicineBig Five personality traitsPathologicalmedia_commonbusiness.industryIncidence (epidemiology)Joc compulsiuMiddle AgedPsicopatologiaBehavior AddictiveDisruptive Impulse Control and Conduct DisordersPsychiatry and Mental healthClinical PsychologyFemaleGaming Disorder; Personality; Internet Gaming Disorder; DSM-5; Diagnosis; Cluster Analysis; Clustering; ProfilesCompulsive gamblingbusinessPersonalityClinical psychologyPsychopathologyAddictive Behaviors
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