Search results for "Likelihood Functions"

showing 10 items of 101 documents

Comprehensive estimation of input signals and dynamics in biochemical reaction networks

2012

Abstract Motivation: Cellular information processing can be described mathematically using differential equations. Often, external stimulation of cells by compounds such as drugs or hormones leading to activation has to be considered. Mathematically, the stimulus is represented by a time-dependent input function. Parameters such as rate constants of the molecular interactions are often unknown and need to be estimated from experimental data, e.g. by maximum likelihood estimation. For this purpose, the input function has to be defined for all times of the integration interval. This is usually achieved by approximating the input by interpolation or smoothing of the measured data. This procedu…

Statistics and ProbabilityMedicin och hälsovetenskapComputer scienceDifferential equationMaximum likelihoodcomputer.software_genreBiochemistryModels BiologicalMedical and Health SciencesIntegration intervalMolecular BiologyJanus KinasesLikelihood FunctionsRegulation Pathways and Systems BiologyExperimental dataOriginal PapersConfidence intervalComputer Science ApplicationsComputational MathematicsSTAT Transcription FactorsComputational Theory and MathematicsData miningAlgorithmcomputerSmoothingAlgorithmsSignal Transduction
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Inferential tools in penalized logistic regression for small and sparse data: A comparative study.

2016

This paper focuses on inferential tools in the logistic regression model fitted by the Firth penalized likelihood. In this context, the Likelihood Ratio statistic is often reported to be the preferred choice as compared to the ‘traditional’ Wald statistic. In this work, we consider and discuss a wider range of test statistics, including the robust Wald, the Score, and the recently proposed Gradient statistic. We compare all these asymptotically equivalent statistics in terms of interval estimation and hypothesis testing via simulation experiments and analyses of two real datasets. We find out that the Likelihood Ratio statistic does not appear the best inferential device in the Firth penal…

Statistics and ProbabilityScore testPRESS statisticEpidemiologyStatistics as TopicScoreWald testLogistic regression01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineHealth Information ManagementStatisticsEconometricsHumans030212 general & internal medicine0101 mathematicsStatisticMathematicsLikelihood FunctionsModels StatisticalLogistic regression firth penalized likelihood sandwich formula score statistic gradient statisticLogistic ModelsLikelihood-ratio testData Interpretation StatisticalSample SizeAncillary statisticSettore SECS-S/01 - StatisticaStatistical methods in medical research
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Sample size in cluster-randomized trials with time to event as the primary endpoint

2011

In cluster-randomized trials, groups of individuals (clusters) are randomized to the treatments or interventions to be compared. In many of those trials, the primary objective is to compare the time for an event to occur between randomized groups, and the shared frailty model well fits clustered time-to-event data. Members of the same cluster tend to be more similar than members of different clusters, causing correlations. As correlations affect the power of a trial to detect intervention effects, the clustered design has to be considered in planning the sample size. In this publication, we derive a sample size formula for clustered time-to-event data with constant marginal baseline hazards…

Statistics and ProbabilityTime FactorsEndpoint DeterminationSubstance-Related DisordersEpidemiologyPsychological interventionBiostatisticsTime-to-Treatmentlaw.inventionCorrelationRandom AllocationRandomized controlled triallawStatisticsClinical endpointEconometricsCluster AnalysisHumansPoisson DistributionBaseline (configuration management)Randomized Controlled Trials as TopicMathematicsEvent (probability theory)Likelihood FunctionsModels StatisticalTerm (time)Sample size determinationSample SizeRegression AnalysisSubstance Abuse Treatment CentersStatistics in Medicine
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Structure Learning in Nested Effects Models

2007

Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs of phenotyping studies, e.g., the effects showing in gene expression profiles or as morphological features of the perturbed cell. In this paper we expand the statistical basis of NEMs in four directions. First, we derive a new formula for the likelihood function of a NEM, which generalizes previous results for binary data. Second, we prove model identifiability under mild assumptions. Third, we show that the new formulation of the likelihood allows efficiency in traversing model space. Fourth, we…

Statistics and ProbabilityTraverseComputer scienceMolecular Networks (q-bio.MN)Genes MHC Class IIPerturbation (astronomy)Genes InsectFeature selectionQuantitative Biology - Quantitative Methods03 medical and health sciences0302 clinical medicineGeneticsAnimalsheterocyclic compoundsQuantitative Biology - Molecular NetworksGraphical modelMolecular BiologyQuantitative Methods (q-bio.QM)Oligonucleotide Array Sequence Analysis030304 developmental biologyLikelihood Functions0303 health sciencesNanoelectromechanical systemsModels StatisticalModels GeneticGene Expression ProfilingGenomicsComputational MathematicsDrosophila melanogasterPhenotypeFOS: Biological sciencesBinary dataIdentifiabilityRNA InterferenceLikelihood functionAlgorithmAlgorithms030217 neurology & neurosurgery
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Frequency distribution of journalistic attention for scientific studies and scientific sources: An input-output analysis.

2020

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tai…

TechnologyTime FactorsMedical JournalsScienceJournalismDecision MakingSocial SciencesResearch and Analysis MethodsCognitionSociologyMedicine and Health SciencesPsychologyMass MediaSocial ChangeScientific PublishingLikelihood FunctionsAltmetricsSocial ResearchResearchQRCognitive PsychologyBiology and Life SciencesResearch AssessmentProbability TheoryCommunicationsBibliometricsPhysical SciencesMedicineCognitive SciencePeriodicals as Topicddc:600Medical HumanitiesMathematicsResearch ArticleNeuroscienceStatistical DistributionsPloS one
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Phylogenetic analysis of the isopenicillin-N-synthetase horizontal gene transfer.

1996

A phylogenetic study of the isopenicillin-N-synthetase (IPNS) gene sequence from prokaryotic and lower eukaryotic producers of beta-lactam antibiotics by means of a maximum-likelihood approach has been carried out. After performing an extensive search, rather than invoking a global molecular clock, the results obtained are best explained by a model with three rates of evolution. Grouped in decreasing order, these correspond to A. nidulans and then to the rest of the eukaryotes and prokaryotes, respectively. The estimated branching date between prokaryotic and fungal IPNS sequences (852 +/- 106 MY) strongly supports the hypothesis that the IPNS gene was horizontally transferred from bacteria…

Time FactorsSequence alignmentGram-Positive BacteriaAspergillus nidulansFungal ProteinsTransformation GeneticBacterial ProteinsSpecies SpecificityPhylogeneticsAspergillus nidulansBotanyGram-Negative BacteriaGeneticsMolecular clockMolecular BiologyGeneEcology Evolution Behavior and SystematicsPhylogenyGeneticsFungal proteinLikelihood FunctionsbiologyPhylogenetic treeModels GeneticRNA Ribosomal 5SRNA Fungalbiology.organism_classificationRNA BacterialHorizontal gene transferOxidoreductasesSequence AlignmentJournal of molecular evolution
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Suitability of chloroplast LSU rDNA and its diverse group I introns for species recognition and phylogenetic analyses of lichen-forming Trebouxia alg…

2009

To date, species identification of lichen photobionts has been performed principally on the basis of microscopic examinations and molecular data from nuclear-encoded genes. In plants, the chloroplast genome has been more readily exploited than the nuclear genome for systematic investigations. At the present time, very little information is available about the chloroplast genome of lichen-forming algae. For this reason, we have sequenced a portion of the gene encoding for the chloroplast large sub-unit rRNA (LSU rDNA) as a new molecular marker. Sequencing of the chloroplast LSU rDNAs revealed the existence of an unusual diversity of group I introns (a total of 31) within 15 analyzed Trebouxi…

TrebouxiaNuclear geneBiologyDNA RibosomalGenomeEvolution MolecularSpecies SpecificityChlorophytaPhylogeneticsDNA Ribosomal SpacerGeneticsGroup I catalytic intronGenome ChloroplastMolecular BiologyPhylogenyEcology Evolution Behavior and SystematicsCell NucleusGeneticsLikelihood FunctionsPhylogenetic treeDNA Chloroplastfood and beveragesBayes TheoremSequence Analysis DNARibosomal RNAbiology.organism_classificationIntronsChloroplastMolecular Phylogenetics and Evolution
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Assessing the root of bilaterian animals with scalable phylogenomic methods.

2009

A clear picture of animal relationships is a prerequisite to understand how the morphological and ecological diversity of animals evolved over time. Among others, the placement of the acoelomorph flatworms, Acoela and Nemertodermatida, has fundamental implications for the origin and evolution of various animal organ systems. Their position, however, has been inconsistent in phylogenetic studies using one or several genes. Furthermore, Acoela has been among the least stable taxa in recent animal phylogenomic analyses, which simultaneously examine many genes from many species, while Nemertodermatida has not been sampled in any phylogenomic study. New sequence data are presented here from org…

XenoturbellaMolecular Sequence DataZoologySequence HomologyAcoelomorphaBiologyGeneral Biochemistry Genetics and Molecular BiologyResearch articlesPhylogenomicsAnimalsAmino Acid SequenceCladePhylogenyGeneral Environmental ScienceLikelihood FunctionsGeneral Immunology and MicrobiologyBase SequenceModels GeneticComputational BiologyGeneral MedicineSequence Analysis DNATurbellariabiology.organism_classificationBiological EvolutionAcoelaNemertodermatidaEvolutionary biologyGeneral Agricultural and Biological SciencesEcdysozoaPlatyzoaProceedings. Biological sciences
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Cognitive benefits of exercise interventions: an fMRI activation likelihood estimation meta-analysis.

2021

Despite a growing number of functional MRI studies reporting exercise-induced changes during cognitive processing, a systematic determination of the underlying neurobiological pathways is currently lacking. To this end, our neuroimaging meta-analysis included 20 studies and investigated the influence of physical exercise on cognition-related functional brain activation. The overall meta-analysis encompassing all experiments revealed physical exercise-induced changes in the left parietal lobe during cognitive processing. Subgroup analysis further revealed that in the younger-age group (< 35 years old) physical exercise induced more widespread changes in the right hemisphere, whereas in th…

medicine.medical_specialtyHistologyNeurology[SDV]Life Sciences [q-bio]PrecuneusNetworkPhysical exerciseSubgroup analysisExercise · Cognition · Brain health · Network050105 experimental psychology[SCCO]Cognitive science03 medical and health sciencesphysiology [Brain]methods [Magnetic Resonance Imaging]0302 clinical medicinePhysical medicine and rehabilitationCognitionNeuroimagingphysiopathology [Nerve Net]medicineHumans0501 psychology and cognitive sciencesddc:610ExerciseComputingMilieux_MISCELLANEOUSDefault mode networkLikelihood Functionsbusiness.industryGeneral Neuroscience05 social sciencesphysiology [Cognition]BrainCognitionMagnetic Resonance Imaging[STAT]Statistics [stat]medicine.anatomical_structureMeta-analysisBrain healthphysiology [Nerve Net]sense organsAnatomyNerve Netbusiness030217 neurology & neurosurgeryBrain structurefunction
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Analysis of HLA-DRB1,DQA1,DQB1 haplotypes in Sardinian centenarians

2008

Some genetic determinants of longevity might reside in those polymorphisms for the immune system genes that regulate immune responses. Many longevity association studies focused their attention on HLA (the human MHC) polymorphisms, but discordant results have been obtained. Sardinians are a relatively isolate population and represent a suitable population for association studies. Some HLA-DR and DQ alleles form very stable haplotypes with a strong linkage disequilibrium. In a previous study on Sardinian centenarians we have suggested that HLA-DRB1 *15 allele might be marginally associated to longevity. HLA-DR,DQ haplotypes are in strong linkage disequilibrium and well conserved playing a ro…

musculoskeletal diseasesAgingLinkage disequilibriummedia_common.quotation_subjectGenes MHC Class IILongevityPopulationBiologyBiochemistryArticleHLA-DQ alpha-ChainsLinkage Disequilibrium03 medical and health sciences0302 clinical medicineEndocrinologyGene FrequencyHLA-DQ AntigensGeneticsHLA-DQ beta-ChainsHumansskin and connective tissue diseaseseducationMolecular BiologyHLA-DRB1Allele frequencyComputingMilieux_MISCELLANEOUS030304 developmental biologyGenetic associationmedia_commonAged 80 and overGeneticsLikelihood Functions0303 health scienceseducation.field_of_studyPolymorphism GeneticHLA-DQB1HaplotypeLongevityHLA-DR AntigensCell BiologyHaplotypesItalyHLA Longevity SardiniaMedicineHLA-DRB1 Chains030215 immunologyExperimental Gerontology
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