Search results for "Software"

showing 10 items of 7396 documents

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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An overview of robust Bayesian analysis

1994

Robust Bayesian analysis is the study of the sensitivity of Bayesian answers to uncertain inputs. This paper seeks to provide an overview of the subject, one that is accessible to statisticians outside the field. Recent developments in the area are also reviewed, though with very uneven emphasis. © 1994 SEIO.

Statistics and ProbabilityComputer scienceBayesian probabilitycomputer.software_genreData scienceField (computer science)Bayesian robustnessN/ARobust Bayesian analysisPrior probabilityData miningSensitivity (control systems)Statistics Probability and Uncertaintycomputer
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A new mathematical approach for the estimation of the AUC and its variability under different experimental designs in preclinical studies

2011

The aim of the present work was to develop a new mathematical method for estimating the area under the curve (AUC) and its variability that could be applied in different preclinical experimental designs and amenable to be implemented in standard calculation worksheets. In order to assess the usefulness of the new approach, different experimental scenarios were studied and the results were compared with those obtained with commonly used software: WinNonlin® and Phoenix WinNonlin®. The results do not show statistical differences among the AUC values obtained by both procedures, but the new method appears to be a better estimator of the AUC standard error, measured as the coverage of 95% confi…

Statistics and ProbabilityComputer scienceDrug Evaluation PreclinicalAdministration Oralcomputer.software_genreSoftwareCiprofloxacinArea under curveVariance estimationAnimalsPharmacology (medical)Rats WistarPharmacologyModels Statisticalbusiness.industryDesign of experimentsEstimatorModels TheoreticalConfidence intervalRatsStandard errorResearch DesignArea Under CurveData miningbusinesscomputerSoftwarePharmaceutical Statistics
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Pathway analysis of high-throughput biological data within a Bayesian network framework

2011

Abstract Motivation: Most current approaches to high-throughput biological data (HTBD) analysis either perform individual gene/protein analysis or, gene/protein set enrichment analysis for a list of biologically relevant molecules. Bayesian Networks (BNs) capture linear and non-linear interactions, handle stochastic events accounting for noise, and focus on local interactions, which can be related to causal inference. Here, we describe for the first time an algorithm that models biological pathways as BNs and identifies pathways that best explain given HTBD by scoring fitness of each network. Results: Proposed method takes into account the connectivity and relatedness between nodes of the p…

Statistics and ProbabilityComputer scienceHigh-throughput screeningGene regulatory networkcomputer.software_genreModels BiologicalBiochemistrySynthetic dataBiological pathwayBayes' theoremHumansGene Regulatory NetworksCarcinoma Renal CellMolecular BiologyGeneBiological dataMicroarray analysis techniquesGene Expression ProfilingBayesian networkRobustness (evolution)Bayes TheoremPathway analysisKidney NeoplasmsHigh-Throughput Screening AssaysComputer Science ApplicationsGene expression profilingComputational MathematicsComputational Theory and MathematicsCausal inferenceData miningcomputerAlgorithmsSoftwareBioinformatics
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Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp

2017

Blind source separation (BSS) is a well-known signal processing tool which is used to solve practical data analysis problems in various fields of science. In BSS, we assume that the observed data consists of linear mixtures of latent variables. The mixing system and the distributions of the latent variables are unknown. The aim is to find an estimate of an unmixing matrix which then transforms the observed data back to latent sources. In this paper we present the R packages JADE and BSSasymp. The package JADE offers several BSS methods which are based on joint diagonalization. Package BSSasymp contains functions for computing the asymptotic covariance matrices as well as their data-based es…

Statistics and ProbabilityComputer scienceJADE (programming language)02 engineering and technologyLatent variableMachine learningcomputer.software_genre01 natural sciencesBlind signal separation010104 statistics & probabilityMatrix (mathematics)nonstationary source separationMixing (mathematics)0202 electrical engineering electronic engineering information engineeringsecond order source separation0101 mathematicslcsh:Statisticslcsh:HA1-4737computer.programming_languageta113Signal processingta112matematiikkamultivariate time seriesmathematicsbusiness.industryEstimator020206 networking & telecommunicationsriippumattomien komponenttien analyysiindependent component analysis; multivariate time series; nonstationary source separation; performance indices; second order source separationIndependent component analysisperformance indicesstatisticsindependent component analysisArtificial intelligenceStatistics Probability and UncertaintybusinesscomputerAlgorithmSoftwareJournal of Statistical Software
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Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods

2014

Abstract Motivation: Protein–protein interaction (PPI) networks are powerful models to represent the pairwise protein interactions of the organisms. Clustering PPI networks can be useful for isolating groups of interacting proteins that participate in the same biological processes or that perform together specific biological functions. Evolutionary orthologies can be inferred this way, as well as functions and properties of yet uncharacterized proteins. Results: We present an overview of the main state-of-the-art clustering methods that have been applied to PPI networks over the past decade. We distinguish five specific categories of approaches, describe and compare their main features and …

Statistics and ProbabilityComputer sciencePopulationPopulation basedMachine learningcomputer.software_genreBiochemistryProtein protein interaction networkgenetic algorithmsProtein–protein interactionBioinformatics Clustering Biological NetworksPPI networkscomplex detectionProtein Interaction MappingAnimalsCluster AnalysisHumanseducationCluster analysisMolecular BiologyTopology (chemistry)Class (computer programming)education.field_of_studybusiness.industryfood and beveragesProteinsComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsArtificial intelligenceData miningbusinessFocus (optics)computerAlgorithms
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Anthropometry: An R Package for Analysis of Anthropometric Data

2017

The development of powerful new 3D scanning techniques has enabled the generation of large up-to-date anthropometric databases which provide highly valued data to improve the ergonomic design of products adapted to the user population. As a consequence, Ergonomics and Anthropometry are two increasingly quantitative fields, so advanced statistical methodologies and modern software tools are required to get the maximum benefit from anthropometric data. This paper presents a new R package, called Anthropometry, which is available on the Comprehensive R Archive Network. It brings together some statistical methodologies concerning clustering, statistical shape analysis, statistical archetypal an…

Statistics and ProbabilityComputer sciencePopulationstatistical shape analysis02 engineering and technologycomputer.software_genre01 natural sciences010104 statistics & probabilitySoftware0202 electrical engineering electronic engineering information engineeringR; anthropometric data; clustering; statistical shape analysis; archetypal analysis; data depth0101 mathematicsarchetypal analysisCluster analysiseducationlcsh:Statisticslcsh:HA1-4737education.field_of_studyAnthropometric databusiness.industryStatistical shape analysisRHuman factors and ergonomicsAnthropometryanthropometric dataVignette020201 artificial intelligence & image processingData miningStatistics Probability and Uncertaintydata depthbusinesscomputerSoftwareclusteringJournal of Statistical Software
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mRNAStab—a web application for mRNA stability analysis

2013

Abstract Eukaryotic gene expression is regulated both at the transcription and the mRNA degradation levels. The implementation of functional genomics methods that allow the simultaneous measurement of transcription (TR) and degradation (DR) rates for thousands of mRNAs is a huge improvement in this field. One of the best established methods for mRNA stability determination is genomic run-on (GRO). It allows the measurement of DR, TR and mRNA levels during cell dynamic responses. Here, we offer a software package that provides improved algorithms for determination of mRNA stability during dynamic GRO experiments. Availability and implementation: The program mRNAStab is freely accessible at h…

Statistics and ProbabilityComputer scienceRNA StabilityCellComputational biologyBioinformaticsBiochemistryTranscription (biology)Gene expressionMRNA degradationmedicineHumansWeb applicationRNA MessengerMolecular BiologyInternetMessenger RNAbusiness.industryRNAGenomicsComputer Science ApplicationsComputational Mathematicsmedicine.anatomical_structureComputational Theory and MathematicsMrna levelbusinessFunctional genomicsAlgorithmsSoftwareBioinformatics
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Acceleration of short and long DNA read mapping without loss of accuracy using suffix array

2014

HPG Aligner applies suffix arrays for DNA read mapping. This implementation produces a highly sensitive and extremely fast mapping of DNA reads that scales up almost linearly with read length. The approach presented here is faster (over 20 for long reads) and more sensitive (over 98% in a wide range of read lengths) than the current state-of-the-art mappers. HPG Aligner is not only an optimal alternative for current sequencers but also the only solution available to cope with longer reads and growing throughputs produced by forthcoming sequencing technologies.

Statistics and ProbabilityComputer scienceSequence analysisSequence alignmentdatabase searchescomputer.software_genreBiochemistrylaw.inventionAccelerationchemistry.chemical_compoundlawCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALAnimalsHumansMolecular BiologyDatabasesequencing dataSuffix arraySequence analysisHigh-Throughput Nucleotide SequencingalignmentSequence Analysis DNAApplications NotesComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicschemistryDrosophilaSuffixSequence AlignmentcomputerAlgorithmAlgorithmsSoftwareDNA
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Overall Objective Priors

2015

In multi-parameter models, reference priors typically depend on the parameter or quantity of interest, and it is well known that this is necessary to produce objective posterior distributions with optimal properties. There are, however, many situations where one is simultaneously interested in all the parameters of the model or, more realistically, in functions of them that include aspects such as prediction, and it would then be useful to have a single objective prior that could safely be used to produce reasonable posterior inferences for all the quantities of interest. In this paper, we consider three methods for selecting a single objective prior and study, in a variety of problems incl…

Statistics and ProbabilityComputer sciencebusiness.industryApplied MathematicsMathematics - Statistics TheoryStatistics Theory (math.ST)Joint Reference PriorReference AnalysisMachine learningcomputer.software_genreLogarithmic DivergenceObjective PriorsVariety (cybernetics)Single objectiveMultinomial ModelPrior probabilityFOS: MathematicsMultinomial distributionMultinomial modelArtificial intelligencebusinesscomputerReference analysisBayesian Analysis
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