Search results for "PROBA"

showing 10 items of 3964 documents

Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications

2015

The bootstrap method has become a widely used tool applied in diverse areas where results based on asymptotic theory are scarce. It can be applied, for example, for assessing the variance of a statistic, a quantile of interest or for significance testing by resampling from the null hypothesis. Recently, some approaches have been proposed in the biometrical field where hypothesis testing or model selection is performed on a bootstrap sample as if it were the original sample. P-values computed from bootstrap samples have been used, for example, in the statistics and bioinformatics literature for ranking genes with respect to their differential expression, for estimating the variability of p-v…

0301 basic medicineStatistics and Probabilityeducation.field_of_studyComputer scienceModel selectionBootstrap aggregatingPopulationGeneral MedicineAsymptotic theory (statistics)01 natural sciences010104 statistics & probability03 medical and health sciences030104 developmental biologyResamplingStatisticsEconometrics0101 mathematicsStatistics Probability and UncertaintyeducationNull hypothesisQuantileStatistical hypothesis testingBiometrical Journal
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Competing species system as a qualitative model of radiation therapy

2016

To examine complex features of tumor dynamics we analyze a competing-species lattice model that takes into account the competition for nutrients or space as well as interaction with therapeutic factors such as drugs or radiation. Our model might be interpreted as a certain prey–predator system having three trophic layers: (i) the basal species that might be interpreted as nutrients; (ii) normal and tumor cells that consume nutrients, and (iii) therapeutic factors that might kill either nutrient, normal or tumor cells. Using a wide spectrum of parameters we examined survival of our species and tried to identify the corresponding dynamical regimes. It was found that the radiotherapy influence…

0301 basic medicineStatistics and Probabilitymedicine.medical_treatmentmedia_common.quotation_subjectTumor cellsLimitingBiologyCondensed Matter Physics01 natural sciencesCompetition (biology)Radiation therapy03 medical and health sciences030104 developmental biologyNutrientAbundance (ecology)0103 physical sciencesmedicineBiophysicsTumor growth010306 general physicsTrophic levelmedia_commonPhysica A: Statistical Mechanics and its Applications
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Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach

2021

International audience; The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM in individual and collective cell migration, there are still unanswered questions about the impact of nonlocal cell sensing of other cells on the overall shape of tumour aggregation and its migration type. There are also unanswered questions about the migration and spread of tumour that arises at the boundary between different tissues with different collagen fibre orientations. To address these questions, in this study we develop …

0301 basic medicineStatistics and Probabilitymulti-scale hybrid mathematical modelMaterials sciencecell migration[SDV.CAN]Life Sciences [q-bio]/Cancercontinuous cell-extracellular matrix interactionsQA273-280Articlenumerical simulationsExtracellular matrix03 medical and health sciences0302 clinical medicineCollagen fibres[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]T57-57.97Applied mathematics. Quantitative methodsApplied MathematicsCollective cell migrationCell migrationTumour invasionCollagen fibre030104 developmental biologyorientation of extracellular matrix fibresagent based discrete cell-cell interactionsContinuous fieldBiological systemProbabilities. Mathematical statistics030217 neurology & neurosurgeryFrontiers in Applied Mathematics and Statistics
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In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes

2018

Abstract Motivation Although the nucleosome occupancy along a genome can be in part predicted by in vitro experiments, it has been recently observed that the chromatin organization presents important differences in vitro with respect to in vivo. Such differences mainly regard the hierarchical and regular structures of the nucleosome fiber, whose existence has long been assumed, and in part also observed in vitro, but that does not apparently occur in vivo. It is also well known that the DNA sequence has a role in determining the nucleosome occupancy. Therefore, an important issue is to understand if, and to what extent, the structural differences in the chromatin organization between in vit…

0301 basic medicineStatistics and Probabilityved/biology.organism_classification_rank.speciesComputational biologySaccharomyces cerevisiaeGenomeBiochemistryDNA sequencingHistones03 medical and health sciences0302 clinical medicineIn vivoComputational Theory and MathematicNucleosomeAnimalsModel organismCaenorhabditis elegansMolecular BiologySequence (medicine)GenomebiologySettore INF/01 - Informaticaved/biologyComputer Science ApplicationChromatinComputer Science ApplicationsChromatinNucleosomesComputational Mathematics030104 developmental biologyHistoneEukaryotic CellsComputational Theory and Mathematicsbiology.proteinComputer Vision and Pattern RecognitionSequence Analysis030217 neurology & neurosurgery
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QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computati…

2017

Background In previous reports, Marrero-Ponce et al. proposed algebraic formalisms for characterizing topological (2D) and chiral (2.5D) molecular features through atom- and bond-based ToMoCoMD-CARDD (acronym for Topological Molecular Computational Design-Computer Aided Rational Drug Design) molecular descriptors. These MDs codify molecular information based on the bilinear, quadratic and linear algebraic forms and the graph-theoretical electronic-density and edge-adjacency matrices in order to consider atom- and bond-based relations, respectively. These MDs have been successfully applied in the screening of chemical compounds of different therapeutic applications ranging from antimalarials…

0301 basic medicineTheoretical computer scienceComputer scienceBilinear interpolationLibrary and Information SciencesTopologyLinear01 natural scienceslcsh:ChemistryToMoCoMD-CARDDDouble stochastic03 medical and health sciencesMatrix (mathematics)SoftwareQuadratic equationMolecular descriptorAtom/bond-based molecular descriptorPhysical and Theoretical ChemistryAlgebraic numberSimple stochasticFree and open source softwarelcsh:T58.5-58.64lcsh:Information technologybusiness.industryQSARMutual probability matricesComputer Graphics and Computer-Aided DesignRotation formalisms in three dimensions0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistry030104 developmental biologylcsh:QD1-999CheminformaticsBilinear and quadratic indicesbusinessNon-stochasticSoftwareQuBiLS-MASJournal of cheminformatics
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Stability of stationary solutions in models of the Calvin cycle

2017

Abstract In this paper results are obtained concerning the number of positive stationary solutions in simple models of the Calvin cycle of photosynthesis and the stability of these solutions. It is proved that there are open sets of parameters in the model of Zhu et al. (2009) for which there exist two positive stationary solutions. There are never more than two isolated positive stationary solutions but under certain explicit special conditions on the parameters there is a whole continuum of positive stationary solutions. It is also shown that in the set of parameter values for which two isolated positive stationary solutions exist there is an open subset where one of the solutions is asym…

0301 basic medicineWork (thermodynamics)Applied Mathematics010102 general mathematicsGeneral EngineeringOpen setGeneral MedicineMathematical proof01 natural sciencesStability (probability)03 medical and health sciencesComputational Mathematics030104 developmental biologySimple (abstract algebra)Stability theoryApplied mathematicsContinuum (set theory)0101 mathematicsGeneral Economics Econometrics and FinanceAnalysisBifurcationMathematicsNonlinear Analysis: Real World Applications
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Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches

2020

The ejaculate is heterogenous and sperm sub-populations with different kinematic patterns can be identified in various species. Nevertheless, although these sub-populations are statistically well defined, the statistical differences are not always relevant. The aim of the present study was to characterize kinematic sub-populations in sperm from two bovine species, and diluted with different commercial extenders, and to determine the statistical relevance of sub-populations through Bayesian analysis. Semen from 10 bulls was evaluated after thawing. An ISAS&reg

0301 basic medicineendocrine systemMultivariate statisticsKinematicsCASABayesian probabilitySemenKinematicsBiologyArticleGeneral Biochemistry Genetics and Molecular Biologylaw.invention03 medical and health sciences0302 clinical medicinelawStatisticsbulllcsh:QH301-705.5030219 obstetrics & reproductive medicineGeneral Immunology and MicrobiologySub populationsurogenital systemExtenderMotilitySpermSpermatozoaBulls030104 developmental biologylcsh:Biology (General)ClusterPrincipal component analysisGeneral Agricultural and Biological Sciences
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Bacteria classification using minimal absent words

2017

Bacteria classification has been deeply investigated with different tools for many purposes, such as early diagnosis, metagenomics, phylogenetics. Classification methods based on ribosomal DNA sequences are considered a reference in this area. We present a new classificatier for bacteria species based on a dissimilarity measure of purely combinatorial nature. This measure is based on the notion of Minimal Absent Words, a combinatorial definition that recently found applications in bioinformatics. We can therefore incorporate this measure into a probabilistic neural network in order to classify bacteria species. Our approach is motivated by the fact that there is a vast literature on the com…

0301 basic medicinesupervised classificationRelation (database)Computer science0102 computer and information sciences01 natural sciencesMeasure (mathematics)03 medical and health sciencesProbabilistic neural networkcombinatorics on wordsprobabilistic neural networkminimal absent wordlcsh:R5-920Settore INF/01 - Informaticabusiness.industryBacterial taxonomyPattern recognitionbacteria classificationGeneral MedicineCombinatorics on words030104 developmental biology010201 computation theory & mathematicsMetagenomicsClassification methodsArtificial intelligencebusinesslcsh:Medicine (General)AIMS Medical Science
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Liver X Receptor–Mediated Induction of Cholesteryl Ester Transfer Protein Expression Is Selectively Impaired in Inflammatory Macrophages

2009

Objective— Cholesteryl ester transfer protein (CETP) is a target gene for the liver X receptor (LXR). The aim of this study was to further explore this regulation in the monocyte-macrophage lineage and its modulation by lipid loading and inflammation, which are key steps in the process of atherogenesis. Methods and Results— Exposure of bone marrow–derived macrophages from human CETP transgenic mice to the T0901317 LXR agonist increased CETP, PLTP, and ABCA1 mRNA levels. T0901317 also markedly increased CETP mRNA levels and CETP production in human differentiated macrophages, whereas it had no effect on CETP expression in human peripheral blood monocytes. In inflammatory mouse and human mac…

030204 cardiovascular system & hematologyMonocytesMice0302 clinical medicinepolycyclic compoundsPhospholipid Transfer ProteinsCells CulturedLiver X Receptors0303 health sciencesCell DifferentiationOrphan Nuclear ReceptorsUp-RegulationLipoproteins LDLmedicine.anatomical_structureABCG1Models Animalmonocytelipids (amino acids peptides and proteins)medicine.symptomCardiology and Cardiovascular MedicineOxidation-ReductionAgonistmedicine.medical_specialtymedicine.drug_classBlotting Westerncholesteryl ester transfer proteinMice TransgenicInflammationmacrophageBiology03 medical and health sciencesDownregulation and upregulationInternal medicineCholesterylester transfer proteinmedicineAnimalsHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyRNA MessengerLiver X receptorLiver X receptorProbability030304 developmental biologyMacrophagesMonocyteAtherosclerosisCholesterol Ester Transfer Proteinscarbohydrates (lipids)EndocrinologyGene Expression RegulationinflammationABCA1Immunologybiology.protein[SDV.AEN]Life Sciences [q-bio]/Food and NutritionArteriosclerosis, Thrombosis, and Vascular Biology
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Stability of OBPs

2020

Odorant binding proteins (OBPs) are small proteins, some of which bind odorants with high specificity. OBPs are relatively easy to produce and show a pronounced stability toward thermal and chemical denaturation. This high stability renders OBPs attractive candidates for the development of odorant detections systems. Unfortunately, binding of odorants is not easy to quantify due to lack of spectroscopic signals upon binding. Therefore, a possible approach to detect binding is to employ the shift in thermal or chemical stability upon ligand-protein interaction. Being a rather indirect approach, the experimental setup should be done with care. Here, the experimental results on stability of OB…

0303 health sciences03 medical and health sciencesOdorant bindingChemistry030303 biophysicsBiophysicsDenaturation (biochemistry)Chemical stabilityThermal stabilityStability (probability)
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