Search results for "comparison"

showing 10 items of 701 documents

Alignment-Free Sequence Comparison over Hadoop for Computational Biology

2015

Sequence comparison i.e., The assessment of how similar two biological sequences are to each other, is a fundamental and routine task in Computational Biology and Bioinformatics. Classically, alignment methods are the de facto standard for such an assessment. In fact, considerable research efforts for the development of efficient algorithms, both on classic and parallel architectures, has been carried out in the past 50 years. Due to the growing amount of sequence data being produced, a new class of methods has emerged: Alignment-free methods. Research in this ares has become very intense in the past few years, stimulated by the advent of Next Generation Sequencing technologies, since those…

SpeedupTheoretical computer scienceSettore INF/01 - InformaticaComputer scienceAlignment-free sequence comparison and analysis; Distributed computing; Hadoop; MapReduce; Software; Mathematics (all); Hardware and ArchitectureSequence alignmentContext (language use)Computational biologyDNA sequencingDistributed computingTask (project management)Alignment-free sequence comparison and analysisHadoopHardware and ArchitectureMathematics (all)Relevance (information retrieval)MapReducePattern matchingAlignment-free sequence comparison and analysiSoftware
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A Network Formation Game Approach to Study BitTorrent Tit-for-Tat

2007

The Tit-for-Tat strategy implemented in BitTorrent (BT) clients is generally considered robust to selfish behaviours. The authors of [1] support this belief studying how Tit-for-Tat can affect selfish peers who are able to set their upload bandwidth. They show that there is a "good" Nash Equilibrium at which each peer uploads at the maximum rate. In this paper we consider a different game where BT clients can change the number of connections to open in order to improve their performance. We study this game using the analytical framework of network formation games [2]. In particular we characterize the set of pairwise stable networks the peers can form and how the peers can dynamically reach…

Star networkComputer sciencebusiness.industryDistributed computingcomputer.file_formatNetwork formationTit for tatUploadsymbols.namesakeNash equilibriumsymbolsPairwise comparisonSet (psychology)businessBitTorrentcomputerComputer network
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One-dimensional random walks with self-blocking immigration

2017

We consider a system of independent one-dimensional random walkers where new particles are added at the origin at fixed rate whenever there is no older particle present at the origin. A Poisson ansatz leads to a semi-linear lattice heat equation and predicts that starting from the empty configuration the total number of particles grows as $c \sqrt{t} \log t$. We confirm this prediction and also describe the asymptotic macroscopic profile of the particle configuration.

Statistics and Probability60G50Particle numbervacant timeInteracting random walksPoisson distributionPoisson comparison01 natural sciences010104 statistics & probabilitysymbols.namesakeLattice (order)FOS: Mathematicsdensity-dependent immigrationStatistical physics0101 mathematicsAnsatzMathematics010102 general mathematicsProbability (math.PR)Random walk60K35symbolsHeat equationStatistics Probability and Uncertainty60F99Mathematics - Probability
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Multiple testing in candidate gene situations: a comparison of classical, discrete, and resampling-based procedures.

2011

In candidate gene association studies, usually several elementary hypotheses are tested simultaneously using one particular set of data. The data normally consist of partly correlated SNP information. Every SNP can be tested for association with the disease, e.g., using the Cochran-Armitage test for trend. To account for the multiplicity of the test situation, different types of multiple testing procedures have been proposed. The question arises whether procedures taking into account the discreteness of the situation show a benefit especially in case of correlated data. We empirically evaluate several different multiple testing procedures via simulation studies using simulated correlated SN…

Statistics and ProbabilityCandidate geneContrast (statistics)computer.software_genrePolymorphism Single NucleotideSet (abstract data type)Computational MathematicsSample size determinationResamplingData Interpretation StatisticalSample SizeStatisticsMultiple comparisons problemGeneticsCochran–Armitage test for trendRange (statistics)HumansComputer SimulationDiseaseData miningMolecular BiologycomputerGenetic Association StudiesMathematicsStatistical applications in genetics and molecular biology
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Opportunities and challenges of combined effect measures based on prioritized outcomes

2013

Many authors have proposed different approaches to combine multiple endpoints in a univariate outcome measure in the literature. In case of binary or time-to-event variables, composite endpoints, which combine several event types within a single event or time-to-first-event analysis are often used to assess the overall treatment effect. A main drawback of this approach is that the interpretation of the composite effect can be difficult as a negative effect in one component can be masked by a positive effect in another. Recently, some authors proposed more general approaches based on a priority ranking of outcomes, which moreover allow to combine outcome variables of different scale levels. …

Statistics and ProbabilityClinical Trials as TopicEpidemiologyUnivariatecomputer.software_genreOutcome (game theory)Treatment OutcomeRankingScale (social sciences)Component (UML)Outcome Assessment Health CareMultiple comparisons problemHumansComputer SimulationData miningcomputerProportional Hazards ModelsMathematicsStatistical hypothesis testingEvent (probability theory)Statistics in Medicine
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Multiple testing of pairs of one-sided hypotheses

1986

Two-sided test procedures fork real parameters should point out in the case of rejection whether the left or the right alternative can be assumed. This sets up a multiple testing problem fork pairs of one-sided hypotheses. Holm's (1979, Scandinavian Journal of Statistics 6:65–70) sequentially rejective test provides a solution the critical levels of which are slightly improved. Considerable improvement is obtained when the hypotheses are redefined to be disjoint in pairs.

Statistics and ProbabilityCombinatoricsProbability theoryOne sidedTest proceduresStatisticsMultiple comparisons problemPoint (geometry)Disjoint setsStatistics Probability and UncertaintyFork (software development)MathematicsTest (assessment)Metrika
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Sequentially Rejective Test Procedures for Detecting Outlying Cells in One- and Two-Sample Multinomial Experiments

1985

For multiple testing of multinomial models in the case of one or two samples we propose using test procedures based on the principle described by MARCUS, PERITZ and GABRIEL (1976). These methods are based in each step of the sequentially rejective strategy on tests which exhaust the full α level (i.e. which are not conservative). The tests can be performed in a finite or asymptotic version.

Statistics and ProbabilityContingency tableTest proceduresStatisticsMultiple comparisons problemMultinomial distributionGeneral MedicineTwo sampleStatistics Probability and UncertaintyAlgorithmConfigural frequency analysisMathematicsBiometrical Journal
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Multitype spatial point patterns with hierarchical interactions.

2001

Multitype spatial point patterns with hierarchical interactions are considered. Here hierarchical interaction means directionality: points on a higher level of hierarchy affect the locations of points on the lower levels, but not vice versa. Such relations are common, for example, in ecological communities. Interacting point patterns are often modeled by Gibbs processes with pairwise interactions. However, these models are inherently symmetric, and the hierarchy can be acknowledged only when interpreting the results. We suggest the following in allowing the inclusion of the hierarchical structure in the model. Instead of regarding the pattern as a realization of a stationary multivariate po…

Statistics and ProbabilityLikelihood FunctionsBiometryModels StatisticalGeneral Immunology and MicrobiologyHierarchy (mathematics)AntsApplied MathematicsStructure (category theory)UnivariateGeneral MedicineType (model theory)General Biochemistry Genetics and Molecular BiologyPoint processCombinatoricsSpecies SpecificityMultivariate AnalysisAnimalsPairwise comparisonPoint (geometry)Statistical physicsGeneral Agricultural and Biological SciencesRealization (probability)EcosystemMathematicsBiometrics
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Multiple Comparisons of Treatments with Stable Multivariate Tests in a Two‐Stage Adaptive Design, Including a Test for Non‐Inferiority

2000

The application of stabilized multivariate tests is demonstrated in the analysis of a two-stage adaptive clinical trial with three treatment arms. Due to the clinical problem, the multiple comparisons include tests of superiority as well as a test for non-inferiority, where non-inferiority is (because of missing absolute tolerance limits) expressed as linear contrast of the three treatments. Special emphasis is paid to the combination of the three sources of multiplicity - multiple endpoints, multiple treatments, and two stages of the adaptive design. Particularly, the adaptation after the first stage comprises a change of the a-priori order of hypotheses.

Statistics and ProbabilityMultivariate statisticsAdaptive clinical trialMultivariate analysisMultiple comparisons problemStatisticsContrast (statistics)Regression analysisGeneral MedicineStatistics Probability and UncertaintyMissing dataStatistical hypothesis testingMathematicsBiometrical Journal
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Powerful short-cuts for multiple testing procedures with special reference to gatekeeping strategies.

2007

In this paper we present a general testing principle for a class of multiple testing problems based on weighted hypotheses. Under moderate conditions, this principle leads to powerful consonant multiple testing procedures. Furthermore, short-cut versions can be derived, which simplify substantially the implementation and interpretation of the related test procedures. It is shown that many well-known multiple test procedures turn out to be special cases of this general principle. Important examples include gatekeeping procedures, which are often applied in clinical trials when primary and secondary objectives are investigated, and multiple test procedures based on hypotheses which are comple…

Statistics and ProbabilityResearch designClass (computer programming)Clinical Trials as TopicGatekeepingInterpretation (logic)Models StatisticalEpidemiologybusiness.industryTest proceduresMachine learningcomputer.software_genreGatekeepingEuropesymbols.namesakeBonferroni correctionResearch DesignMultiple comparisons problemsymbolsHumansArtificial intelligencebusinessAlgorithmcomputerMathematicsStatistics in medicine
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