Search results for "expression"

showing 10 items of 5168 documents

SMART: Unique splitting-while-merging framework for gene clustering

2014

© 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named "splitting merging awareness tactics" (SMART), which does not require any a priori knowledge of either the number …

Clustering algorithmsMicroarrayslcsh:MedicineGene ExpressionBioinformaticscomputer.software_genreCell SignalingData MiningCluster Analysislcsh:ScienceFinite mixture modelOligonucleotide Array Sequence AnalysisPhysicsMultidisciplinarySMART frameworkConstrained clusteringCompetitive learning modelBioassays and Physiological AnalysisMultigene FamilyCanopy clustering algorithmEngineering and TechnologyData miningInformation TechnologyGenomic Signal ProcessingAlgorithmsResearch ArticleSignal TransductionComputer and Information SciencesFuzzy clusteringCorrelation clusteringResearch and Analysis MethodsClusteringMolecular GeneticsCURE data clustering algorithmGeneticsGene RegulationCluster analysista113Gene Expression Profilinglcsh:RBiology and Life SciencesComputational BiologyCell BiologyDetermining the number of clusters in a data setComputingMethodologies_PATTERNRECOGNITIONSplitting-merging awareness tactics (SMART)Signal ProcessingAffinity propagationlcsh:QGene expressionClustering frameworkcomputer
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An Extension of the DgLARS Method to High-Dimensional Relative Risk Regression Models

2020

In recent years, clinical studies, where patients are routinely screened for many genomic features, are becoming more common. The general aim of such studies is to find genomic signatures useful for treatment decisions and the development of new treatments. However, genomic data are typically noisy and high dimensional, not rarely outstripping the number of patients included in the study. For this reason, sparse estimators are usually used in the study of high-dimensional survival data. In this paper, we propose an extension of the differential geometric least angle regression method to high-dimensional relative risk regression models.

Clustering high-dimensional dataComputer sciencedgLARS Gene expression data High-dimensional data Relative risk regression models Sparsity · Survival analysisLeast-angle regressionRelative riskStatisticsEstimatorRegression analysisExtension (predicate logic)High dimensionalSettore SECS-S/01 - StatisticaSurvival analysis
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GenClust: A genetic algorithm for clustering gene expression data

2005

Abstract Background Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designed and validated for the task. Despite the widespread use of artificial intelligence techniques in bioinformatics and, more generally, data analysis, there are very few clustering algorithms based on the genetic paradigm, yet that paradigm has great potential in finding good heuristic solutions to a difficult optimization problem such as clustering. Results GenClust is a new genetic algorithm for clustering gene expression data. It has two key features: (a) a novel coding of the search space that is simple, …

Clustering high-dimensional dataDNA ComplementaryComputer scienceRand indexCorrelation clusteringOligonucleotidesEvolutionary algorithmlcsh:Computer applications to medicine. Medical informaticscomputer.software_genreBiochemistryPattern Recognition AutomatedBiclusteringOpen Reading FramesStructural BiologyCURE data clustering algorithmConsensus clusteringGenetic algorithmCluster AnalysisCluster analysislcsh:QH301-705.5Molecular BiologyGene expression data Clustering Evolutionary algorithmsOligonucleotide Array Sequence AnalysisModels StatisticalBrown clusteringHeuristicGene Expression ProfilingApplied MathematicsComputational BiologyComputer Science Applicationslcsh:Biology (General)Gene Expression RegulationMutationlcsh:R858-859.7Data miningSequence AlignmentcomputerSoftwareAlgorithmsBMC Bioinformatics
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Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs

2014

We develop an algorithm that incorporates network information into regression settings. It simultaneously estimates the covariate coefficients and the signs of the network connections (i.e. whether the connections are of an activating or of a repressing type). For the coefficient estimation steps an additional penalty is set on top of the lasso penalty, similarly to Li and Li (2008). We develop a fast implementation for the new method based on coordinate descent. Furthermore, we show how the new methods can be applied to time-to-event data. The new method yields good results in simulation studies concerning sensitivity and specificity of non-zero covariate coefficients, estimation of networ…

Clustering high-dimensional databusiness.industryjel:C41jel:C13Machine learningcomputer.software_genreRegressionhigh-dimensional data gene expression data pathway information penalized regressionConnection (mathematics)Set (abstract data type)Lasso (statistics)CovariateArtificial intelligenceSensitivity (control systems)businessCoordinate descentAlgorithmcomputerMathematics
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Heat shock and Cd2+ exposure regulate PML and Daxx release from ND10 by independent mechanisms that modify the induction of heat-shock proteins 70 an…

2003

Nuclear domains called ND10 or PML bodies might function as nuclear depots by recruiting or releasing certain proteins. Although recruitment of proteins through interferon-induced upregulation and SUMO-1 modification level of PML had been defined, it is not known whether release of proteins is regulated and has physiological consequences. Exposure to sublethal environmental stress revealed a sequential release of ND10-associated proteins. Upon heat shock Daxx and Sp100 were released but PML remained, whereas exposure to subtoxic concentrations of CdCl2 induced the release of ND10-associated proteins, including PML, with Sp100 remaining in a few sites. In both cases,recovery times were simil…

Co-Repressor ProteinsMAP Kinase Signaling SystemMacromolecular SubstancesSUMO-1 ProteinPromyelocytic Leukemia ProteinMicePromyelocytic leukemia proteinDeath-associated protein 6Stress PhysiologicalHeat shock proteinEndopeptidasesAnimalsHSP70 Heat-Shock ProteinsEnzyme InhibitorsHeat shockTranscription factorCells CulturedHeat-Shock ProteinsbiologyTumor Suppressor ProteinsIntracellular Signaling Peptides and ProteinsNuclear ProteinsCell BiologyCell Nucleus StructuresNeoplasm ProteinsCell biologyHsp70Cysteine EndopeptidasesEukaryotic CellsGene Expression RegulationImmunologybiology.proteinSignal transductionCarrier ProteinsCo-Repressor ProteinsHeat-Shock ResponseCadmiumMolecular ChaperonesTranscription FactorsJournal of Cell Science
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Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome…

2014

Background The scale and complexity of genomic data lend themselves to analysis using sophisticated mathematical techniques to yield information that can generate new hypotheses and so guide further experimental investigations. An ensemble clustering method has the ability to perform consensus clustering over the same set of genes from different microarray datasets by combining results from different clustering methods into a single consensus result. Results In this paper we have performed comprehensive analysis of forty yeast microarray datasets. One recently described Bi-CoPaM method can analyse expressions of the same set of genes from various microarray datasets while using different cl…

Co-regulation(Binarisation of consensus partition matrices) Bi-CoPaMGene Expression ProfilingStress responseGenes FungalCo-expressionGenome-wide analysisGene Expression Regulation FungalRibosome biogenesisSaccharomycetalesCluster AnalysisGene Regulatory NetworksBudding yeastRibosomesOligonucleotide Array Sequence AnalysisResearch ArticleBMC bioinformatics
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Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome…

2014

This article has been made available through the Brunel Open Access Publishing Fund. Background: The scale and complexity of genomic data lend themselves to analysis using sophisticated mathematical techniques to yield information that can generate new hypotheses and so guide further experimental investigations. An ensemble clustering method has the ability to perform consensus clustering over the same set of genes from different microarray datasets by combining results from different clustering methods into a single consensus result. Results: In this paper we have performed comprehensive analysis of forty yeast microarray datasets. One recently described Bi-CoPaM method can analyse express…

Co-regulationGenome-wide analysisRibosome biogenesisStress responseBi-CoPaMBudding yeastBiochemistryMolecular BiologyCo-expressionComputer Science Applications
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Phenotypic and genotypic evaluation of slime production by conventional and molecular microbiological techniques.

2009

Twenty-nine staphylococcal isolates from different clinical samples were tested for slime production: phenotypic characterization was carried out using Christensen test (tube test) and Congo red agar plate test (CRA plate test), while the presence and expression of icaA and icaD genes were evaluated by real-time PCR. In 79.3% of studied strains there was a concordance between slime production and presence of icaA and icaD genes, and between lack of slime production and absence of both or only one of the tested genes. In four of five strains where positive phenotype was not associated with the presence of ica genes, gene co-expression (evaluated by mRNA determination) was lacking, while in o…

Coagulase-negative staphylococci; Ica genes; Real-time PCR; Slime; Bacterial Capsules; Bacterial Proteins; Bacteriological Techniques; Genotype; Humans; Phenotype; Polymerase Chain Reaction; Staining and Labeling; Staphylococcal Infections; Staphylococcus; MicrobiologyGenotypeICADStaphylococcusBiologySlimeMicrobiologyPolymerase Chain ReactionMicrobiologyAgar plateBacterial ProteinsGenotypeGene expressionHumansGeneBacterial CapsulesBacteriological TechniquesIca genesStaining and LabelingCoagulase-negative staphylococciStaphylococcal InfectionsPhenotypeMolecular biologyReal-time polymerase chain reactionPhenotypeSlime Real-time PCR Coagulase-negative staphylococci Ica genesCoagulaseReal-time PCRMicrobiological research
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A Mutually Stimulating Loop Involving Emx2 and Canonical Wnt Signalling Specifically Promotes Expansion of Occipital Cortex and Hippocampus

2005

The correct size of the different areas composing the mature cerebral cortex depends on the proper early allocation of cortical progenitors to their distinctive areal fates, as well as on appropriate subsequent tuning of their area-specific proliferation--differentiation profiles. Whereas much is known about the genetics of the former process, the molecular mechanisms regulating proliferation and differentiation rates within distinctive cortical proto-areas are still largely obscure. Here we show that a mutual stimulating loop, involving Emx2 and canonical Wnt signalling, specifically promotes expansion of the occipito-hippocampal anlage. Collapse of this loop occurring in Emx2 2/2 mutants …

Cognitive NeuroscienceEMX2HippocampusSettore BIO/11 - Biologia MolecolareProneural genescell cycle genesBiologyHippocampusMiceCellular and Molecular NeuroscienceCortex (anatomy)medicineAnimalsWnt signallingHomeodomain ProteinsNeuronsproneural genesStem CellsGene Expression Regulation DevelopmentalCell DifferentiationCell cycleareal sizingCell Cycle GeneMice Mutant StrainsWnt Proteinsmedicine.anatomical_structureCerebral cortexEmx2Occipital LobeOccipital lobeareal sizing; Emx2; Wnt signalling; cell cycle genes; proneural genesNeuroscienceCell DivisionSignal TransductionTranscription FactorsCerebral Cortex
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Expressive suppression and enhancement during music-elicited emotions in younger and older adults

2015

International audience; When presented with emotional visual scenes, older adults have been found to be equally capable to regulate emotion expression as younger adults, corroborating the view that emotion regulation skills are maintained or even improved in later adulthood. However, the possibility that gaze direction might help achieve an emotion control goal has not been taken into account, raising the question whether the effortful processing of expressive regulation is really spared from the general age-related decline. Since it does not allow perceptual attention to be redirected away from the emotional source, music provides a useful way to address this question. In the present study…

Cognitive Neurosciencemedia_common.quotation_subject050109 social psychologymusical emotions[ SCCO.PSYC ] Cognitive science/Psychology050105 experimental psychologylcsh:RC321-571Developmental psychologyPerception0501 psychology and cognitive sciencesEmotional expressionexpressive enhancementOriginal Research ArticleControl (linguistics)Expressive SuppressionReactivity (psychology)lcsh:Neurosciences. Biological psychiatry. Neuropsychiatrymedia_commonphysiological measuresexpressive suppression05 social sciencesagingGazeExpression (architecture)Younger adults[SCCO.PSYC]Cognitive science/PsychologyPsychologyNeuroscience
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