Search results for "Var"

showing 10 items of 14701 documents

Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.

2017

International audience; Controlling the technological variability on an analytical chain is critical for biomarker discovery. The sources of technological variability should be modeled, which calls for specific experimental design, signal processing, and statistical analysis. Furthermore, with unbalanced data, the various components of variability cannot be estimated with the sequential or adjusted sums of squares of usual software programs. We propose a novel approach to variance component analysis with application to the matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) technology and use this approach for protein quantification by a classical signal processing algori…

0301 basic medicineStatistics and ProbabilityMALDI-TOFexperimental designBiometryprotein quantificationQuantitative proteomicsVariance component analysis[ CHIM ] Chemical Sciences01 natural sciencesSignaltechnological variability010104 statistics & probability03 medical and health sciencesstatistical analysis[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[CHIM.ANAL]Chemical Sciences/Analytical chemistryComponent (UML)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]biomarker discoverysum of squares type0101 mathematicsBiomarker discoverysignal processingMathematicsSignal processingAnalysis of Variance[ PHYS ] Physics [physics]Noise (signal processing)ProteinsGeneral MedicineVariance (accounting)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]030104 developmental biologySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationLinear Modelsvariance components[ CHIM.ANAL ] Chemical Sciences/Analytical chemistryStatistics Probability and UncertaintyBiological systemAlgorithmsBiomarkersBiometrical journal. Biometrische Zeitschrift
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A heuristic, iterative algorithm for change-point detection in abrupt change models

2017

Change-point detection in abrupt change models is a very challenging research topic in many fields of both methodological and applied Statistics. Due to strong irregularities, discontinuity and non-smootheness, likelihood based procedures are awkward; for instance, usual optimization methods do not work, and grid search algorithms represent the most used approach for estimation. In this paper a heuristic, iterative algorithm for approximate maximum likelihood estimation is introduced for change-point detection in piecewise constant regression models. The algorithm is based on iterative fitting of simple linear models, and appears to extend easily to more general frameworks, such as models i…

0301 basic medicineStatistics and ProbabilityMathematical optimizationIterative methodHeuristic (computer science)Linear model01 natural sciencesPiecewise constant model Approximate maximum likelihood Model linearization Grid search limitations010104 statistics & probability03 medical and health sciencesComputational MathematicsDiscontinuity (linguistics)030104 developmental biologyHyperparameter optimizationCovariatePiecewise0101 mathematicsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaChange detectionMathematics
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A graphical model selection tool for mixed models

2017

Model selection can be defined as the task of estimating the performance of different models in order to choose the most parsimonious one, among a potentially very large set of candidate statistical models. We propose a graphical representation to be considered as an extension to the class of mixed models of the deviance plot proposed in the literature within the framework of classical and generalized linear models. This graphical representation allows, once a reduced number of models have been selected, to identify important covariates focusing only on the fixed effects component, assuming the random part properly specified. Nevertheless, we suggest also a standalone figure representing th…

0301 basic medicineStatistics and ProbabilityMixed modelModel selectionFeature selection01 natural sciencesTask (project management)Deviance plot Penalized Weighted Residual Sum of Squares Variable selection010104 statistics & probability03 medical and health sciences030104 developmental biologyModeling and SimulationStatisticsGraphical model0101 mathematicsSelection (genetic algorithm)Mathematics
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Reference genome assessment from a population scale perspective: an accurate profile of variability and noise.

2017

Abstract Motivation Current plant and animal genomic studies are often based on newly assembled genomes that have not been properly consolidated. In this scenario, misassembled regions can easily lead to false-positive findings. Despite quality control scores are included within genotyping protocols, they are usually employed to evaluate individual sample quality rather than reference sequence reliability. We propose a statistical model that combines quality control scores across samples in order to detect incongruent patterns at every genomic region. Our model is inherently robust since common artifact signals are expected to be shared between independent samples over misassembled regions …

0301 basic medicineStatistics and ProbabilityQuality ControlGenotypeComputer sciencemedia_common.quotation_subjectPopulationGenomicsBioinformaticscomputer.software_genreBiochemistryGenome03 medical and health sciencesGenetic variationAnimalsHumansQuality (business)AlleleeducationMolecular BiologyGenotypingReliability (statistics)media_commonProtocol (science)education.field_of_studyGenomeModels StatisticalGenetic VariationReproducibility of ResultsGenomicsGenome AnalysisOriginal PapersComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsData miningcomputerSoftwareReference genome
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Insulin resistance and hyperandrogenism drive steatosis and fibrosis risk in young females with PCOS

2017

Background and aims Nonalcoholic fatty liver disease (NAFLD) and polycystic ovary syndrome (PCOS) recognize obesity and insulin resistance (IR) as common pathogenic background. We assessed 1) whether PCOS is a risk factor for steatosis, and 2) the impact, in PCOS patients, of IR and hyperandrogenism on steatosis and fibrosis. Methods We considered 202 consecutive Italian PCOS nondiabetic patients and 101 age-matched controls. PCOS was diagnosed applying the Rotterdam diagnostic criteria. Steatosis was diagnosed if hepatic steatosis index (HSI) >36, while fibrosis by using the FIB-4 score. As surrogate estimate of insulin sensitivity we considered the insulin sensitivity index (ISI). Free an…

0301 basic medicineSteatosisendocrine system diseasesPhysiologylcsh:MedicinePathology and Laboratory MedicineBiochemistryBody Mass IndexCytopathology0302 clinical medicineEndocrinologyNon-alcoholic Fatty Liver DiseaseRisk FactorsNonalcoholic fatty liver diseaseMedicine and Health SciencesInsulinlcsh:ScienceMultidisciplinaryLiver DiseasesFatty liverMiddle AgedPolycystic ovaryLipidsCholesterolOncologyPhysiological Parameters030211 gastroenterology & hepatologyFemalePolycystic Ovary SyndromeResearch ArticleAdultmedicine.medical_specialtyGastroenterology and Hepatology03 medical and health sciencesInsulin resistanceInternal medicinemedicineHumansObesityRisk factorTriglyceridesDiabetic Endocrinologybusiness.industryFree androgen indexHyperandrogenismCholesterol HDLBody Weightlcsh:RCancers and NeoplasmsBiology and Life Sciencesmedicine.diseaseFibrosisHormonesFatty Liver030104 developmental biologyEndocrinologyAnatomical Pathologylcsh:QSteatosisInsulin ResistancebusinessHyperandrogenismGynecological TumorsDevelopmental Biologyinsulin resistance PCOS
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The Relationship Between Salivary Redox, Diet, and Food Flavor Perception.

2021

The mouth is the gateway for entrance of food and microorganisms into the organism. The oral cavity is bathed by saliva, which is thus the first fluid that food and microorganisms will face after their entrance. As a result, saliva plays different functions, including lubrication, predigestion, protection, detoxification, and even transport of taste compounds to chemoreceptors located in the taste buds. To ensure its function of protection, saliva contains reactive harmful compounds such as reactive oxygen species that are controlled and neutralized by the antioxidant activity of saliva. Several antioxidant molecules control the production of molecules such as reactive oxygen compounds, neu…

0301 basic medicineTasteSalivaAntioxidantantioxidantmedicine.medical_treatmentEndocrinology Diabetes and Metabolismsalivary proteinslcsh:TX341-641Reviewantioxidant capacityperceptionRedox03 medical and health sciences0302 clinical medicineIn vivoDetoxificationmedicineFood scienceFlavorNutritionchemistry.chemical_classificationReactive oxygen speciessalivaNutrition and DieteticsflavorChemistry030104 developmental biology030220 oncology & carcinogenesisredoxdietlcsh:Nutrition. Foods and food supply[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceFrontiers in nutrition
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Variation in Lingual Nerve Course: A Human Cadaveric Study.

2016

The lingual nerve is a terminal branch of the mandibular nerve. It is varied in its course and in its relationship to the mandibular alveolar crest, submandibular duct and also the related muscles in the floor of the mouth. This study aims to understand the course of the lingual nerve from the molar area until its insertion into the tongue muscle. This cadaveric research involved the study of 14 hemi-mandibles and consisted of two parts: (i) obtaining morphometrical measurements of the lingual nerve to three landmarks on the alveolar ridge, and (b) understanding non-metrical or morphological appearance of its terminal branches inserting in the ventral surface of the tongue. The mean distanc…

0301 basic medicineTeethCritical Care and Emergency MedicineSubmandibular ductPhysiologyMandibular nerveDigestive PhysiologyTrauma Surgerylcsh:MedicineSurgical and Invasive Medical ProceduresMolarsMandibleMandibular first molarSalivary GlandsMandibular second molar03 medical and health sciences0302 clinical medicineExocrine Glandsstomatognathic systemTongueTongueAlveolar ridgeMedicine and Health SciencesMedicineDentitionlcsh:ScienceLingual nerveTrauma MedicineMouthMultidisciplinarybusiness.industrylcsh:RBiology and Life Sciences030206 dentistryAnatomySubmandibular glandSubmandibular Glandsstomatognathic diseasesmedicine.anatomical_structureJawlcsh:Q030101 anatomy & morphologyAnatomybusinessDigestive SystemHeadResearch ArticlePloS one
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Stanozolol promotes osteogenic gene expression and apposition of bone mineral in vitro

2018

Abstract Stanozolol (ST) is a synthetic androgen with high anabolic potential. Although it is known that androgens play a positive role in bone metabolism, ST action on bone cells has not been sufficiently tested to support its clinical use for bone augmentation procedures. Objective: This study aimed to assess the effects of ST on osteogenic activity and gene expression in SaOS-2 cells. Material and Methods: SaOS-2 deposition of mineralizing matrix in response to increasing doses of ST (0-1000 nM) was evaluated through Alizarin Red S and Calcein Green staining techniques at 6, 12 and 24 days. Gene expression of runt-related transcription factor 2 (RUNX2), vitamin D receptor (VDR), osteopon…

0301 basic medicineTime FactorsBone matrixCore Binding Factor Alpha 1 SubunitReal-Time Polymerase Chain ReactionCalcitriol receptorBone remodelingCalcificationAndrology03 medical and health sciencesAnabolic AgentsCalcification PhysiologicOsteogenesisCell Line TumorBone cellHumansOsteonectinOsteopontinGeneral DentistryBone mineralAnalysis of VarianceOsteoblastsbiologyChemistryReproducibility of Resultslcsh:RK1-715RUNX2Apposition030104 developmental biologylcsh:DentistryLinear Modelsbiology.proteinAndrogensReceptors CalcitriolOriginal ArticleOsteopontinGene expressionOsteonectinStanozolol
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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Phenolic Compounds in Extra Virgin Olive Oil Stimulate Human Osteoblastic Cell Proliferation.

2016

In this study, we aimed to clarify the effects of phenolic compounds and extracts from different extra virgin olive oil (EVOO) varieties obtained from fruits of different ripening stages on osteoblast cells (MG-63) proliferation. Cell proliferation was increased by hydroxytyrosol, luteolin, apigenin, p-coumaric, caffeic, and ferulic acids by approximately 11-16%, as compared with controls that were treated with one vehicle alone, while (+)-pinoresinol, oleuropein, sinapic, vanillic acid and derivative (vanillin) did not affect cell proliferation. All phenolic extracts stimulated MG-63 cell growth, and they induced higher cell proliferation rates than individual compounds. The most effective…

0301 basic medicineTime Factorslcsh:MedicineBiochemistryMass SpectrometryTreeschemistry.chemical_compoundAnimal CellsPlant ProductsMedicine and Health SciencesCaffeic acidApigeninlcsh:ScienceLuteolinChromatography High Pressure LiquidConnective Tissue CellsCultured Tumor CellsPrincipal Component AnalysisMultidisciplinaryAgricultureCell DifferentiationRipeningPlantsPhenylethyl AlcoholLipidsOsteoblast DifferentiationChemistryBiochemistryCell ProcessesConnective TissuePhysical SciencesApigeninBiological CulturesCellular TypesAnatomyResearch ArticleOlive TreesCoumaric AcidsResearch and Analysis MethodsVegetable Oils03 medical and health sciencesCaffeic AcidsPhenolsOleuropeinCell Line TumorOleaVanillic acidHumansPhenolsOlive OilCell ProliferationAnalysis of Variance030109 nutrition & dieteticsOsteoblastsDose-Response Relationship Druglcsh:RChemical CompoundsOrganismsBiology and Life SciencesCell BiologyCell CulturesOsteosarcoma CellsAgronomyOlive treesBiological Tissue030104 developmental biologychemistryFruitHydroxytyrosollcsh:QOilsCrop ScienceDevelopmental Biology
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