Search results for "Data analysis."

showing 10 items of 377 documents

Retrospective screening for SARS-CoV-2 among influenza-like illness hospitalizations: 2018-2019 and 2019-2020 seasons, Valencia region, Spain

2021

Este artículo se encuentra disponible en la siguiente URL: https://onlinelibrary.wiley.com/doi/epdf/10.1111/irv.12899 En este artículo de investigación también participan: Juan Mollar-Maseres, Germán Schwarz-Chavarri, Sandra García-Esteban, Joan Puig-Barberà, Javier Díez-Domingo y F. Xavier López-Labrador. On 9 March 2020, the World Health Organization (WHO) Global Influenza Programme (GIP) asked participant sites on the Global Influenza Hospital Surveillance Network (GIHSN) to contribute to data collection concerning severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We re-analysed 5833 viral RNA archived samples collected prospectively from hospital admissions for influenza-lik…

Pulmonary and Respiratory Medicinemedicine.medical_specialty2019-20 coronavirus outbreakRT‐PCRSARS-CoV-2 (Virus) - Diagnóstico - 2018-2019 - España - Valencia (Comunidad Valenciana)EpidemiologyShort CommunicationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationShort CommunicationscoronavirusData analysis.COVID-19 - Diagnóstico - 2019-2020 - España - Valencia (Comunidad Autónoma)medicine.disease_causeWorld healthCOVID‐19Influenza HumanPandemicmedicineHumansCOVID-19 - Diagnóstico - 2018-2019 - España - Valencia (Comunidad Autónoma)Influenza - Diagnosis - 2019-2020 - Spain - Valencia (Autonomous Community)Viral rnaGripe - Diagnóstico - 2018-2019 - España - Valencia (Comunidad Autónoma)influenza‐like‐illnesseducationRetrospective StudiesCoronaviruseducation.field_of_studyInfluenza-like illnessSARS-CoV-2business.industrySARS-CoV-2 (Virus) - Diagnosis - 2018-2019 - Spain - Valencia (Autonomous Community)COVID-19 (Disease) - Diagnosis - 2019-2020 - Spain - Valencia (Autonomous Community)Public Health Environmental and Occupational HealthCOVID-19virus diseasesCOVID-19 (Disease) - Diagnosis - 2018-2019 - Spain - Valencia (Autonomous Community)Análisis de datos.HospitalizationSARS-CoV-2 (Virus) - Diagnóstico - 2019-2020 - España - Valencia (Comunidad Valenciana)Infectious DiseasesInfluenza - Diagnosis - 2018-2019 - Spain - Valencia (Autonomous Community)SpainGripe - Diagnóstico - 2019-2020 - España - Valencia (Comunidad Autónoma)Emergency medicineSARS-CoV-2 (Virus) - Diagnosis - 2019-2020 - Spain - Valencia (Autonomous Community)Seasonsbusiness
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GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

2021

AbstractBackgroundThe interpretation of results from transcriptome profiling experiments via RNA sequencing (RNA-seq) can be a complex task, where the essential information is distributed among different tabular and list formats - normalized expression values, results from differential expression analysis, and results from functional enrichment analyses. A number of tools and databases are widely used for the purpose of identification of relevant functional patterns, yet often their contextualization within the data and results at hand is not straightforward, especially if these analytic components are not combined together efficiently.ResultsWe developed the GeneTonic software package, whi…

QH301-705.5Process (engineering)Computer scienceShinyComputer applications to medicine. Medical informaticsBioconductor610 MedizinR858-859.7Context (language use)Interactive data analysisReproducible researchBioconductorInteractivity610 Medical sciencesUse caseRNA-SeqBiology (General)MIT LicenseTranscriptomicsInformation retrievalBase SequenceSequence Analysis RNAData interpretationData visualizationRReproducibility of ResultsIdentification (information)WorkflowRNASoftwareFunctional enrichment analysis
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"Table 2" of "Measurement of the correlations between the polar angles of leptons from top quark decays in the helicity basis at $\sqrt{s}=7$TeV usin…

2017

The correlation factors for the statistical uncertainties between any two bins of the unfolded distribution.

Quantitative Biology::BiomoleculesP P --> LEPTON+ NU LEPTON- NUBAR BOTTOM BOTTOMBAR XDifferential Cross SectionP P --> W+ W- BOTTOM BOTTOMBAR XTopTop Production7000.0Astrophysics::Cosmology and Extragalactic AstrophysicsPhysics::Data Analysis; Statistics and ProbabilityP P --> TOP TOPBAR XInclusiveProton-Proton ScatteringW Pair ProductionAngular DependenceW ProductionDSIG/DTHETA
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Feature selection on a dataset of protein families: from exploratory data analysis to statistical variable importance

2016

Proteins are characterized by several typologies of features (structural, geometrical, energy). Most of these features are expected to be similar within a protein family. We are interested to detect which features can identify proteins that belong to a family, as well as to define the boundaries among families. Some features are redundant: they could generate noise in identifying which variables are essential as a fingerprint and, consequently, if they are related or not to a function of a protein family. We defined an original approach to analyze protein features for defining their relationships and peculiarities within protein families. A multistep approach has been mainly performed in R …

Quantitative Biology::Biomoleculesbusiness.industrySparse PCAPattern recognitionFeature selectionLinear discriminant analysisCross-validationRandom forestExploratory data analysisStatistical classificationArtificial intelligencebusinessCluster analysisMathematics
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Appendix D. Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

2016

Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

Quantitative Biology::Populations and EvolutionPhysics::Data Analysis; Statistics and ProbabilityQuantitative Biology::Genomics
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Investigating the quality of mental models deployed by undergraduate engineering students in creating explanations: The case of thermally activated p…

2013

This paper describes a method aimed at pointing out the quality of the mental models undergraduate engineering students deploy when asked to create explanations for phenomena or processes and/or use a given model in the same context. Student responses to a specially designed written questionnaire are quantitatively analyzed using researcher-generated categories of reasoning, based on the physics education research literature on student understanding of the relevant physics content. The use of statistical implicative analysis tools allows us to successfully identify clusters of students with respect to the similarity to the reasoning categories, defined as ``practical or everyday,'' ``descri…

Quantitative data analysiQualitative data analysisPhysics educationLC8-6691Learning environmentmedia_common.quotation_subjectMultimethodologySettore FIS/08 - Didattica E Storia Della FisicaPhysicsQC1-999Physics educationGeneral Physics and AstronomyContext (language use)Special aspects of educationEducationConsistency (negotiation)Engineering educationSimilarity (psychology)Mathematics educationQuality (business)Psychologymedia_commonPhysical Review Special Topics. Physics Education Research
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Observation of time-invariant coherence in a room temperature quantum simulator

2015

The ability to live in coherent superpositions is a signature trait of quantum systems and constitutes an irreplaceable resource for quantum-enhanced technologies. However, decoherence effects usually destroy quantum superpositions. It has been recently predicted that, in a composite quantum system exposed to dephasing noise, quantum coherence in a transversal reference basis can stay protected for indefinite time. This can occur for a class of quantum states independently of the measure used to quantify coherence, and requires no control on the system during the dynamics. Here, such an invariant coherence phenomenon is observed experimentally in two different setups based on nuclear magnet…

Quantum PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics - Data Analysis Statistics and ProbabilityMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesNuclear Experiment (nucl-ex)Quantum Physics (quant-ph)Nuclear ExperimentData Analysis Statistics and Probability (physics.data-an)
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Negative Probabilities and Contextuality

2015

There has been a growing interest, both in physics and psychology, in understanding contextuality in experimentally observed quantities. Different approaches have been proposed to deal with contextual systems, and a promising one is contextuality-by-default, put forth by Dzhafarov and Kujala. The goal of this paper is to present a tutorial on a different approach: negative probabilities. We do so by presenting the overall theory of negative probabilities in a way that is consistent with contextuality-by-default and by examining with this theory some simple examples where contextuality appears, both in physics and psychology.

Quantum PhysicsPhysics - Data Analysis Statistics and ProbabilityFOS: Physical sciencesQuantum Physics (quant-ph)Data Analysis Statistics and Probability (physics.data-an)
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Parton distributions and lattice QCD calculations: A community white paper

2018

Progress in particle and nuclear physics 100, 107 - 160 (2018). doi:10.1016/j.ppnp.2018.01.007

QuarkNuclear and High Energy PhysicsParticle physicsquark: distribution functiondata analysis methodHigh Energy Physics::LatticeLattice field theoryhadron: spinFOS: Physical sciencesparton: distribution functionPartonLattice QCD01 natural sciences530hard scatteringHigh Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)benchmarkFactorization0103 physical sciencesquantum chromodynamicsquantum chromodynamics: factorizationddc:530010306 general physicsGlobal QCD fitsQuantum chromodynamicsPhysicspolarizationgluon: distribution function010308 nuclear & particles physics[PHYS.HLAT]Physics [physics]/High Energy Physics - Lattice [hep-lat]High Energy Physics - Lattice (hep-lat)High Energy Physics::Phenomenologylattice field theory[ PHYS.HLAT ] Physics [physics]/High Energy Physics - Lattice [hep-lat]ObservableLattice QCDGluonHigh Energy Physics - Phenomenology[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph][ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::ExperimentUnpolarized/polarized parton distribution functions (PDFs)
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Analysis methods of safe Coulomb-excitation experiments with radioactive ion beams using the gosia code

2016

With the recent advances in radioactive ion beam technology, Coulomb excitation at safe energies becomes an important experimental tool in nuclear-structure physics. The usefulness of the technique to extract key information on the electromagnetic properties of nuclei has been demonstrated since the 1960's with stable beam and target combinations. New challenges present themselves when studying exotic nuclei with this technique, including dealing with low statistics or number of data points, absolute and relative normalisation of the measured cross sections and a lack of complimentary experimental data, such as excited-state lifetimes and branching ratios. This paper addresses some of these…

Radioactive ion beamsNuclear and High Energy PhysicsIon beamfuusioreaktioCoulomb excitationData analysisFOS: Physical sciencesCoulomb excitation[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesNuclear physicsElectromagnetic moments25.70.De 21.10.Ky; 29.38.Gj 29.85.Fj0103 physical sciencesNuclear Experiment (nucl-ex)particle and nuclear physics010306 general physicsheavy ionsNuclear ExperimentAnalysis methodPhysics010308 nuclear & particles physicsReaccelerated radioactive beams3. Good healthData pointhadronsQuadrupoleydinfysiikka
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