Search results for "Cluster analysis"

showing 10 items of 848 documents

Assessing statistical significance in multivariable genome wide association analysis

2016

Motivation: Although Genome Wide Association Studies (GWAS) genotype a very large number of single nucleotide polymorphisms (SNPs), the data are often analyzed one SNP at a time. The low predictive power of single SNPs, coupled with the high significance threshold needed to correct for multiple testing, greatly decreases the power of GWAS. Results: We propose a procedure in which all the SNPs are analyzed in a multiple generalized linear model, and we show its use for extremely high-dimensional datasets. Our method yields P-values for assessing significance of single SNPs or groups of SNPs while controlling for all other SNPs and the family wise error rate (FWER). Thus, our method tests whe…

0301 basic medicineStatistics and Probability1303 BiochemistryGenotypeOperations researchLibrary sciencePolymorphism Single NucleotideBiochemistryGerman03 medical and health sciences10007 Department of EconomicsPolitical scienceGenome-Wide Association Analysis1312 Molecular Biology1706 Computer Science ApplicationsCluster AnalysisHumansComputer Simulation2613 Statistics and ProbabilityMolecular BiologyEuropean researchGenetics and Population AnalysisComputational BiologyReproducibility of ResultsOriginal Paperslanguage.human_languageComputer Science Applications330 EconomicsComputational MathematicsPhenotype030104 developmental biologyComputational Theory and MathematicsLinear Modelslanguage2605 Computational MathematicsGenome-Wide Association Study1703 Computational Theory and Mathematics
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ParDRe: faster parallel duplicated reads removal tool for sequencing studies

2016

This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record [insert complete citation information here] is available online at: https://doi.org/10.1093/bioinformatics/btw038 [Abstract] Summary: Current next generation sequencing technologies often generate duplicated or near-duplicated reads that (depending on the application scenario) do not provide any interesting biological information but can increase memory requirements and computational time of downstream analysis. In this work we present ParDRe , a de novo parallel tool to remove duplicated and near-duplicated reads through the clustering of S…

0301 basic medicineStatistics and ProbabilityFASTQ formatDNA stringsSource codeDownstream (software development)Computer sciencemedia_common.quotation_subjectParallel computingcomputer.software_genreBiochemistryDNA sequencing03 medical and health scienceschemistry.chemical_compound0302 clinical medicineHybrid MPI/multithreadingCluster AnalysisParDReMolecular BiologyGenemedia_commonHigh-Throughput Nucleotide SequencingSequence Analysis DNAParallel toolComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicschemistryData miningcomputerAlgorithms030217 neurology & neurosurgeryDNABioinformatics
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The latent geometry of the human protein interaction network

2017

Abstract Motivation A series of recently introduced algorithms and models advocates for the existence of a hyperbolic geometry underlying the network representation of complex systems. Since the human protein interaction network (hPIN) has a complex architecture, we hypothesized that uncovering its latent geometry could ease challenging problems in systems biology, translating them into measuring distances between proteins. Results We embedded the hPIN to hyperbolic space and found that the inferred coordinates of nodes capture biologically relevant features, like protein age, function and cellular localization. This means that the representation of the hPIN in the two-dimensional hyperboli…

0301 basic medicineStatistics and ProbabilityGeometric analysisComputer scienceHyperbolic geometrySystems biologyComplex systemContext (language use)GeometryBiochemistryProtein–protein interaction03 medical and health sciencesInteraction networkHumansProtein Interaction MapsRepresentation (mathematics)Cluster analysisMolecular BiologySystems BiologyHyperbolic spaceProteinsFunction (mathematics)Original PapersComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsEmbeddingSignal transductionAlgorithmsSignal Transduction
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Inhabiting plant roots, nematodes, and truffles—polyphilus, a new helotialean genus with two globally distributed species

2018

Fungal root endophytes, including the common group of dark septate endophytes (DSEs), represent different taxonomic groups and potentially diverse life strategies. In this study, we investigated two unidentified helotialean lineages found previously in a study of DSE fungi of semiarid grasslands, from several other sites, and collected recently from a pezizalean truffle ascoma and eggs of the cereal cyst nematode Heterodera filipjevi. The taxonomic positions and phylogenetic relationships of 21 isolates with different hosts and geographic origins were studied in detail. Four loci, namely, nuc rDNA ITS1-5.8S-ITS2 (internal transcribed spacer [ITS]), partial 28S nuc rDNA (28S), partial 18S nu…

0301 basic medicineSystematicZygotePhysiologyLeotiomycetesHyaloscyphaceaeDNA RibosomalPlant Roots03 medical and health sciencesAscomycotaPhylogeneticsDNA Ribosomal SpacerRNA Ribosomal 28SBotanyRNA Ribosomal 18SGeneticsAnimalsCluster AnalysisTylenchoideaInternal transcribed spacerDNA FungalMolecular BiologyRibosomal DNAPhylogenyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSTaxonomy[SDV.EE]Life Sciences [q-bio]/Ecology environmentHeterodera filipjeviCereal cyst nematodebiologyPhylogenetic tree3 new taxaSequence Analysis DNACell BiologyGeneral Medicine15. Life on land030108 mycology & parasitologybiology.organism_classificationEndophyteRNA Ribosomal 5.8S030104 developmental biologyHelotialesRNA Polymerase IIHyaloscyphaceaeMycologia
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Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs

2017

Detecting higher-order epistatic interactions in Genome-Wide Association Studies (GWAS) remains a challenging task in the fields of genetic epidemiology and computer science. A number of algorithms have recently been proposed for epistasis discovery. However, they suffer from a high computational cost since statistical measures have to be evaluated for each possible combination of markers. Hence, many algorithms use additional filtering stages discarding potentially non-interacting markers in order to reduce the overall number of combinations to be examined. Among others, Mutual Information Clustering (MIC) is a common pre-processing filter for grouping markers into partitions using K-Means…

0301 basic medicineTheoretical computer scienceComputer sciencebusiness.industryContrast (statistics)Genome-wide association study02 engineering and technologyMutual informationMachine learningcomputer.software_genreReduction (complexity)03 medical and health sciences030104 developmental biologyGenetic epidemiology0202 electrical engineering electronic engineering information engineeringEpistasis020201 artificial intelligence & image processingArtificial intelligenceCluster analysisbusinesscomputerGenetic association
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Co-regulation of paralog genes in the three-dimensional chromatin architecture.

2016

Paralog genes arise from gene duplication events during evolution, which often lead to similar proteins that cooperate in common pathways and in protein complexes. Consequently, paralogs show correlation in gene expression whereby the mechanisms of co-regulation remain unclear. In eukaryotes, genes are regulated in part by distal enhancer elements through looping interactions with gene promoters. These looping interactions can be measured by genome-wide chromatin conformation capture (Hi-C) experiments, which revealed self-interacting regions called topologically associating domains (TADs). We hypothesize that paralogs share common regulatory mechanisms to enable coordinated expression acco…

0301 basic medicineanimal structuresComputational biologyBiologyGenomeChromosome conformation capture03 medical and health sciencesMice0302 clinical medicineDogsGene DuplicationGene duplicationGeneticsAnimalsCluster AnalysisHumansPromoter Regions GeneticGeneChIA-PETGenomic organizationGeneticsRegulation of gene expressionGenomefungiGene regulation Chromatin and EpigeneticsComputational BiologyChromatin Assembly and DisassemblyBiological EvolutionChromatinChromatin030104 developmental biologyEnhancer Elements GeneticGene Expression Regulation030217 neurology & neurosurgeryNucleic acids research
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Full-automatic computer aided system for stem cell clustering using content-based microscopic image analysis

2017

Abstract Stem cells are very original cells that can differentiate into other cells, tissues and organs, which play a very important role in biomedical treatments. Because of the importance of stem cells, in this paper we propose a full-automatic computer aided clustering system to assist scientists to explore potential co-occurrence relations between the cell differentiation and their morphological information in phenotype. In this proposed system, a multi-stage Content-based Microscopic Image Analysis (CBMIA) framework is applied, including image segmentation, feature extraction, feature selection, feature fusion and clustering techniques. First, an Improved Supervised Normalized Cuts (IS…

0301 basic medicinebusiness.industryComputer scienceFeature extractionBiomedical EngineeringStability (learning theory)Pattern recognitionFeature selection02 engineering and technologyImage segmentation03 medical and health sciences030104 developmental biologyFeature (computer vision)Robustness (computer science)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationArtificial intelligencebusinessCluster analysisBiocybernetics and Biomedical Engineering
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Unexpected associated microalgal diversity in the lichen Ramalina farinacea is uncovered by pyrosequencing analyses

2017

The current literature reveals that the intrathalline coexistence of multiple microalgal taxa in lichens is more common than previously thought, and additional complexity is supported by the coexistence of bacteria and basidiomycete yeasts in lichen thalli. This replaces the old paradigm that lichen symbiosis occurs between a fungus and a single photobiont. The lichen Ramalina farinacea has proven to be a suitable model to study the multiplicity of microalgae in lichen thalli due to the constant coexistence of Trebouxia sp. TR9 and T. jamesii in long-distance populations. To date, studies involving phycobiont diversity within entire thalli are based on Sanger sequencing, but this method see…

0301 basic medicinelcsh:MedicineLichenologyArtificial Gene Amplification and ExtensionPlant SciencePolymerase Chain ReactionDatabase and Informatics MethodsDiversity indexMicroalgaeCluster AnalysisDNA Fungallcsh:ScienceLichenPhylogenyData ManagementMultidisciplinaryEcologybiologyEcologyPhylogenetic AnalysisBiodiversitysymbiosisThallusPhylogeneticspyrosequencingLichenologyTrebouxiaSequence AnalysisResearch ArticleTrebouxiaComputer and Information SciencesBioinformaticsSequence DatabasesReal-Time Polymerase Chain ReactionResearch and Analysis MethodslichenRamalina farinacea03 medical and health sciencesAscomycotaAlgaelichen photobionts pyrosequencing symbiosis TrebouxiaBotanyEvolutionary SystematicsMolecular Biology TechniquesMolecular BiologyDNA sequence analysisTaxonomyEvolutionary BiologyEcology and Environmental Scienceslcsh:RGenetic VariationBiology and Life SciencesSequence Analysis DNAReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationBiological Databases030104 developmental biologyphotobiontsPyrosequencinglcsh:QSequence AlignmentPLOS ONE
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Detection of temporal clusters of health care-associated infections or colonizations with Pseudomonas aeruginosa.

2016

International audience; We investigated temporal clusters of Pseudomonas aeruginosa cases between 2005 and 2014 in 1 French university hospital, overall and by ward, using the Kulldorff method. Clusters of positive water samples were also investigated at the whole hospital level. Our results suggest that water outlets are not closely involved in the occurrence of clusters of P aeruginosa cases.

0301 basic medicinemedicine.medical_specialtyEpidemiology030106 microbiology030501 epidemiologymedicine.disease_causeHealth care associatedMicrobiologyHospitals University03 medical and health sciences[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyInternal medicinemedicineCluster AnalysisHumansPseudomonas InfectionsCross InfectionPseudomonas aeruginosabusiness.industryHealth PolicyPublic Health Environmental and Occupational HealthWaterHospital levelUniversity hospital3. Good healthInfectious Diseases[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyCarrier StatePseudomonas aeruginosaFranceWater Microbiology0305 other medical sciencebusiness
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Low-cost scalable discretization, prediction and feature selection for complex systems

2019

The introduced data-driven tool allows simultaneous feature selection, model inference, and marked cost and quality gains.

0303 health sciencesMultidisciplinary010504 meteorology & atmospheric sciencesDiscretizationComputer scienceData classificationProbabilistic logicComplex systemSciAdv r-articlesFeature selectioncomputer.software_genre01 natural sciences03 medical and health sciencesRange (mathematics)ScalabilityData miningCluster analysisAlgorithmcomputerResearch ArticlesMathematicsResearch Article030304 developmental biology0105 earth and related environmental sciences
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