Search results for "cluster analysis"

showing 10 items of 848 documents

DNA methylation patterns in newborns exposed to tobacco in utero

2015

[Background] Maternal smoking during pregnancy is a major risk factor for adverse health outcomes. The main objective of the study was to assess the impact of in utero tobacco exposure on DNA methylation in children born at term with appropriate weight at birth.

AdultEpigenomicsMothersPhysiologyBiologyGeneral Biochemistry Genetics and Molecular BiologyEpigenesis GeneticAdrenomedullinYoung Adultchemistry.chemical_compoundPregnancyRisk FactorsTobaccoCluster AnalysisHumansAdrenomedullin geneEpigeneticsNewbornsEpigenomicsMedicine(all)ImmunoassayDNA methylationBiochemistry Genetics and Molecular Biology(all)ResearchInfant NewbornGeneral MedicineMethylationFetal BloodGene Expression RegulationchemistryCpG siteMaternal ExposureIn uteroImmunologyDNA methylationCpG IslandsFemaleTobacco Smoke PollutionCotinineGenome-Wide Association StudyDNA hypomethylationJournal of Translational Medicine
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Endometrial gene expression in the window of implantation is altered in obese women especially in association with polycystic ovary syndrome

2010

Objective To determine whether luteal phase endometrial transcriptome is altered in obese women during the window of implantation (WOI), considering the presence of infertility, fat distribution and association with polycystic ovary syndrome (PCOS). Design Prospective study. Setting University-affiliated infertility clinic, between May 2007 and March 2009. Patient(s) One control group of women with normal weight (n = 4), and four study groups of obese women (n = 6 each one) according to the association with infertility, PCOS, and ovarian stimulation. Intervention(s) The endometrium was biopsied 7 days after LH surge or hCG administration in 28 women. Main Outcome Measure(s) Endometrial gene…

AdultInfertilitymedicine.medical_specialtyTime FactorsAdolescentMicroarrayBiopsyLuteal PhaseLuteal phasePeptide receptor activityBiologyEndometriumEndometriumYoung AdultOvulation InductionInternal medicinemedicineCluster AnalysisHumansEmbryo ImplantationObesityProspective StudiesOligonucleotide Array Sequence AnalysisUnexplained infertilityPrincipal Component AnalysisGene Expression ProfilingObstetrics and GynecologyFertility Agents Femalemedicine.diseasePolycystic ovarymedicine.anatomical_structureEndocrinologyGene Expression RegulationReproductive MedicineSpainCase-Control StudiesFemaleTransmembrane transporter activityInfertility FemalePolycystic Ovary SyndromeFertility and Sterility
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Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data

2019

Abstract Background While the presence of cognitive performance deficits in bipolar disorder I (BD-I) is well established, there is no consensus about which cognitive abilities are affected. Heterogeneous phenotypes displayed in BD-I further suggest the existence of subgroups among the disorder. The present study sought to identify different cognitive profiles among BD-I patients as well as potentially underlying neuronal network changes. Methods 54 euthymic BD-I patients underwent cognitive testing and resting state neuroimaging. Hierarchical cluster-analysis was performed on executive function scores of bipolar patients. The derived clusters were compared against 54 age-, gender- and IQ-m…

AdultMale0301 basic medicineBipolar DisorderBipolar I disorderNeuropsychological TestsImpulsivityExecutive Function03 medical and health sciencesCellular and Molecular NeuroscienceCognition0302 clinical medicineNeural PathwaysmedicineCluster AnalysisHumansBipolar disorderPharmacologyBrain MappingResting state fMRIAction intention and motor controlCognitive flexibilityBrainCognitionmedicine.diseaseExecutive functionsMagnetic Resonance ImagingCognitive test030104 developmental biologyImpulsive BehaviorFemalemedicine.symptomPsychology030217 neurology & neurosurgeryCognitive psychology
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Hypoxia-Inducible Factor 2α Mutation-Related Paragangliomas Classify as Discrete Pseudohypoxic Subcluster

2016

Contains fulltext : 172720.pdf (Publisher’s version ) (Open Access) Recently, activating mutations of the hypoxia-inducible factor 2alpha gene (HIF2A/EPAS1) have been recognized to predispose to multiple paragangliomas (PGLs) and duodenal somatostatinomas associated with polycythemia, and ocular abnormalities. Previously, mutations in the SDHA/B/C/D, SDHAF2, VHL, FH, PHD1, and PHD2 genes have been associated with HIF activation and the development of pseudohypoxic (cluster-1) PGLs. These tumors overlap in terms of tumor location, syndromic presentation, and noradrenergic phenotype to a certain extent. However, they also differ especially by clinical outcome and by presence of other tumors o…

AdultMale0301 basic medicineOriginal articleCancer ResearchAdolescentMicroarraySDHBSDHABiologylcsh:RC254-282Oxidative PhosphorylationParagangliomaYoung Adult03 medical and health sciences0302 clinical medicineParagangliomaBasic Helix-Loop-Helix Transcription FactorsmedicineJournal ArticleCluster AnalysisHumansChildHypoxiaAgedGeneticsGene Expression ProfilingVascular damage Radboud Institute for Molecular Life Sciences [Radboudumc 16]Middle Agedlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasePhenotypeGene Expression Regulation NeoplasticGene expression profiling030104 developmental biologyHypoxia-inducible factors030220 oncology & carcinogenesisMutationFemaleSDHDTranscriptomeProtein BindingNeoplasia
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Occurrence and clinical characteristics of Compulsive Sexual Behavior Disorder (CSBD): A cluster analysis in two independent community samples.

2020

AbstractBackground and aimsCompulsive Sexual Behavior Disorder (CSBD) is characterized by a persistent failure to control intense and recurrent sexual impulses, urges, and/or thoughts, resulting in repetitive sexual behavior that causes a marked impairment in important areas of functioning. Despite its recent inclusion in the forthcoming ICD-11, concerns regarding its assessment, diagnosis, prevalence or clinical characteristics remain. The purpose of this study was to identify participants displaying CSBD through a novel data-driven approach in two independent samples and outline their sociodemographic, sexual, and clinical profile.MethodsSample 1 included 1,581 university students (female…

AdultMaleAdolescentUniversitiesSexual Behavior030508 substance abuseMedicine (miscellaneous)occurrenceDisease clusterSeverity of Illness Index03 medical and health sciencesYoung Adult0302 clinical medicineIndependent samplesSensation seekingCluster AnalysisHumansStudentsPsychiatric Status Rating ScalesParaphilic DisordersGeneral Medicineclinical profile030227 psychiatryDisruptive Impulse Control and Conduct DisordersPsychiatry and Mental healthClinical PsychologySexual behaviorErotophiliaCompulsive BehaviorFemaleCompulsive Sexual Behavior Disorder (CSBD)0305 other medical sciencePsychologycluster analysisClinical psychologyJournal of behavioral addictions
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Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques

2013

HighlightsDifferent prediction algorithms were used to predict Hb levels in CRF patients.Prediction errors in the validation cohorts of patients were around 0.6g/dl.Difficulty to obtain lower errors due to the measuring machine precision (0.2g/dl).Relevance analysis of features have been applied for each predictor. Patients who suffer from chronic renal failure (CRF) tend to suffer from an associated anemia as well. Therefore, it is essential to know the hemoglobin (Hb) levels in these patients. The aim of this paper is to predict the hemoglobin (Hb) value using a database of European hemodialysis patients provided by Fresenius Medical Care (FMC) for improving the treatment of this kind of …

AdultMaleAdolescentmedicine.medical_treatmentHealth InformaticsMachine learningcomputer.software_genreDisease clusterSensitivity and SpecificityHemoglobinsYoung AdultArtificial IntelligenceRenal DialysismedicineHumansComputer SimulationCluster analysisErythropoietinAgedAged 80 and overDose-Response Relationship DrugArtificial neural networkbusiness.industryModels CardiovascularLinear modelReproducibility of ResultsAnemiaMiddle AgedRegressionDrug Therapy Computer-AssistedComputer Science ApplicationsSupport vector machineTreatment OutcomeAdaptive resonance theoryFemaleHemodialysisArtificial intelligenceDrug MonitoringbusinesscomputerAlgorithmsBiomarkersSoftwareComputer Methods and Programs in Biomedicine
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Etiologic Heterogeneity Among Non-Hodgkin Lymphoma Subtypes: The InterLymph Non-Hodgkin Lymphoma Subtypes Project

2014

Non-Hodgkin lymphoma (NHL) is the most common hematologic malignancy and the fifth most common type of cancer in more developed regions of the world (1). Numerous NHL subtypes with distinct combinations of morphologic, immunophenotypic, genetic, and clinical features are currently recognized (2,3). The incidence of NHL subtypes varies substantially by age, sex, and race/ethnicity (4–7). However, the etiological implications of this biological, clinical, and epidemiological diversity are incompletely understood. The importance of investigating etiology by NHL subtype is clearly supported by research on immunosuppression, infections, and autoimmune diseases, which are the strongest and most e…

AdultMaleCancer ResearchAdolescentChronic lymphocytic leukemiaFollicular lymphomaComorbidityDiseaseNon-Hodgkin lymphoma (NHL)ArticleYoung AdultRisk Factorsimmune system diseasesOccupational Exposurehemic and lymphatic diseasesOdds RatiomedicineCluster AnalysisHumansRisk factorFamily historyLife StyleAgedAged 80 and overInternational Lymphoma Epidemiology Consortium (InterLymph)business.industryLymphoma Non-HodgkinAustraliaCase-control studyGeneral MedicineOdds ratioMiddle Agedmedicine.diseaseLymphomaEuropeOncologyCase-Control StudiesNorth AmericaImmunologyFemalebusinessJNCI Monographs
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Trends for genetic variation of Hepatitis C Virus quasispecies in Human Immunodeficiency virus-1 coinfected patients

2007

Chronic infection by Hepatitis C Virus (HCV) causes liver fibrosis, which is accelerated by unknown mechanisms in patients with HIV-1 coinfection. The evolution of HCV quasispecies in this setting of coinfection is not fully understood. To compare HCV quasispecies between HIV-HCV coinfection and HCV monoinfection, we sequenced 340 HCV clones from the HVR-1 and NS3 regions at two different time points in two groups of treatment-naive patients with HCV-1a infection: (1) HIV-HCV positive (n=6); and (2) HIV negative-HCV positive (n=3). In HCV/HIV coinfection, we found a trend for reduced HCV genetic complexity and diversity, and a trend towards reduced dN/dS ratios in the HVR-1 region, especial…

AdultMaleCancer ResearchHepatitis C virusHepacivirusMolecular Sequence DataSequence HomologyHIV InfectionsHepacivirusViral quasispeciesViral Nonstructural Proteinsmedicine.disease_causeArticleViral ProteinsAcquired immunodeficiency syndrome (AIDS)VirologymedicineCluster AnalysisHumansPhylogenyNS3biologyGenetic Variationvirus diseasesSequence Analysis DNAHepatitis CHepatitis C ChronicMiddle Agedbiology.organism_classificationmedicine.diseaseVirologydigestive system diseasesCD4 Lymphocyte CountChronic infectionInfectious DiseasesImmunologyCoinfectionRNA ViralVirus Research
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Understanding the effect of window length and overlap for assessing sEMG in dynamic fatiguing contractions: A non-linear dimensionality reduction and…

2020

The Short-Time Fourier transform (STFT) is a helpful tool to identify muscle fatigue with clinical and sports applications. However, the choice of STFT parameters may affect the estimation of myoelectrical manifestations of fatigue. Here, we determine the effect of window length and overlap selections on the frequency slope and the coefficient of variation from EMG spectrum features in fatiguing contractions. We also determine whether STFT parameters affect the relationship between frequency slopes and task failure. Eighty-eight healthy adult men performed one-leg heel-rise until exhaustion. A factorial design with a window length of 50, 100, 250, 500, and 1000 ms with 0, 25, 50, 75, and 90…

AdultMaleCoefficient of variation0206 medical engineeringBiomedical EngineeringBiophysics02 engineering and technologyElectromyography03 medical and health sciencessymbols.namesake0302 clinical medicineIsometric ContractionmedicineCluster AnalysisHumansOrthopedics and Sports MedicineMuscle SkeletalCluster analysisMathematicsFourier AnalysisMuscle fatiguemedicine.diagnostic_testElectromyographybusiness.industryDimensionality reductionRehabilitationShort-time Fourier transformPattern recognitionFunction (mathematics)020601 biomedical engineeringFourier transformMuscle FatiguesymbolsArtificial intelligencebusiness030217 neurology & neurosurgeryMuscle ContractionJournal of Biomechanics
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Prescribers’ opinions to identify competitive groups: a comparative analysis in the pharmaceutical industry

2020

A firm must identify its key competitors (those that belong to the same competitive group), especially when operating in highly competitive industries, such as drug products. Experts who prescribe products to the final consumer play a crucial role in identifying the key competitors of a firm. In this context, the present paper aimed to determine if significant differences exist between two groups of prescribers (commercial and social) regarding the competitive structure that both groups identify using subjective information obtained through (i) categorization methods and (ii) evaluation methods.A sample of 104 prescribers related to the sale of cosmetic pharmaceuticals was interviewed (53 c…

AdultMaleDrug IndustryHealth PersonnelInterviews as Topic03 medical and health sciences0302 clinical medicinePhysiciansCluster AnalysisHumansPharmacology (medical)030212 general & internal medicineMarketingAgedPharmaceutical industryEconomic Competitionbusiness.industry030503 health policy & servicesHealth PolicyGeneral MedicineCompetitor analysisMiddle AgedCategorizationKey (cryptography)FemaleBusiness0305 other medical scienceExpert Review of Pharmacoeconomics & Outcomes Research
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