Search results for " mining"

showing 10 items of 1548 documents

Mutations in theERCC2(XPD) gene associated with severe fetal ichthyosis and dysmorphic features

2016

0301 basic medicineGeneticsFetusbusiness.industryIchthyosisObstetrics and Gynecology030105 genetics & hereditymedicine.disease03 medical and health sciencesText miningMedicineERCC2businessGeneGenetics (clinical)Prenatal Diagnosis
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CLOVE: classification of genomic fusions into structural variation events

2017

Background A precise understanding of structural variants (SVs) in DNA is important in the study of cancer and population diversity. Many methods have been designed to identify SVs from DNA sequencing data. However, the problem remains challenging because existing approaches suffer from low sensitivity, precision, and positional accuracy. Furthermore, many existing tools only identify breakpoints, and so not collect related breakpoints and classify them as a particular type of SV. Due to the rapidly increasing usage of high throughput sequencing technologies in this area, there is an urgent need for algorithms that can accurately classify complex genomic rearrangements (involving more than …

0301 basic medicineGenomicsBiologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistryChromosomesDNA sequencingSet (abstract data type)Structural variationUser-Computer Interface03 medical and health sciencesStructural BiologyEscherichia coliHumansCopy-number variationMolecular Biologylcsh:QH301-705.5InternetMethodology ArticleApplied MathematicsBreakpointGenomic rearrangementsDNAGenomicsStructural variationsComputer Science ApplicationsIdentification (information)030104 developmental biologylcsh:Biology (General)Nucleic Acid ConformationGraph (abstract data type)lcsh:R858-859.7Data miningcomputerAlgorithmsBMC Bioinformatics
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Modulation astrogliale de la stimulation cérébrale profonde dans la dépression

2016

0301 basic medicineGynecology03 medical and health sciencesmedicine.medical_specialty030104 developmental biology0302 clinical medicineText miningbusiness.industrymedicineGeneral Medicinebusiness030217 neurology & neurosurgeryGeneral Biochemistry Genetics and Molecular Biologymédecine/sciences
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HPV vaccine hesitancy among parents of female adolescents: a pre-post interventional study

2017

Human papillomavirus (HPV) is the most common sexually transmitted infection in female adolescents. The highest infection rate is found among individuals aged 15-24 years, and the HPV vaccine represents an opportunity to reduce the burden of cervical cancer caused by HPV types 16 and 18. The World Health Organization has defined girls aged 9e13 years as the priority target for HPV vaccination. In Italy, in accordance with international public health guidelines, HPV vaccination wasfree and actively offered to all girls during their 12th year of life (from the completion of 11 years until the age of 12 years) between 2007 and 2008, establishing a target vaccination coverage of 95% within 5 ye…

0301 basic medicineGynecologymedicine.medical_specialtybusiness.industry030106 microbiologyPublic Health Environmental and Occupational HealthGeneral MedicinePublic Health Human papillomavirus vaccination preventionSettore MED/42 - Igiene Generale E Applicata03 medical and health sciences0302 clinical medicineText miningFamily medicinemedicine030212 general & internal medicinebusiness
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FragClust and TestClust, two informatics tools for chemical structure hierarchical clustering analysis applied to lipidomics. The example of Alzheime…

2016

Lipidomic analysis is able to measure simultaneously thousands of compounds belonging to a few lipid classes. In each lipid class, compounds differ only by the acyl radical, ranging between C10:0 (capric acid) and C24:0 (lignoceric acid). Although some metabolites have a peculiar pathological role, more often compounds belonging to a single lipid class exert the same biological effect. Here, we present a lipidomics workflow that extracts the tandem mass spectrometry data from individual files and uses them to group compounds into structurally homogeneous clusters by chemical structure hierarchical clustering analysis (CHCA). The case-to-control peak area ratios of the metabolites are then a…

0301 basic medicineHigh-resolution mass spectrometrySettore MED/09 - Medicina InternaChemical structureComputational biologyPlasma biomarkers01 natural sciencesTriglycerideBiochemistryHomogeneous clustersAnalytical ChemistryCeramide03 medical and health sciencesAlzheimer DiseaseTandem Mass SpectrometryHealth informatics toolsLipidomicsHumansStatistical analysisData miningChromatography High Pressure LiquidAgedAged 80 and overMolecular StructureChemistry010401 analytical chemistryLipids0104 chemical sciencesHierarchical clusteringPhospholipid030104 developmental biologyWorkflowBiochemistryCase-Control StudiesSettore MED/26 - Neurologia
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A multicenter study benchmarks software tools for label-free proteome quantification

2016

The consistent and accurate quantification of proteins by mass spectrometry (MS)-based proteomics depends on the performance of instruments, acquisition methods and data analysis software. In collaboration with the software developers, we evaluated OpenSWATH, SWATH2.0, Skyline, Spectronaut and DIA-Umpire, five of the most widely used software methods for processing data from SWATH-MS (sequential window acquisition of all theoretical fragment ion spectra), a method that uses data-independent acquisition (DIA) for label-free protein quantification. We analyzed high-complexity test datasets from hybrid proteome samples of defined quantitative composition acquired on two different MS instrument…

0301 basic medicineInternationalityProteomeComputer sciencemedia_common.quotation_subjectSoftware toolQuantitative proteomicsBiomedical EngineeringBioengineeringcomputer.software_genreBioinformaticsSensitivity and SpecificityApplied Microbiology and BiotechnologyArticleMass Spectrometry03 medical and health sciencesSoftwareQuality (business)media_commonLabel freeStaining and Labeling030102 biochemistry & molecular biologybusiness.industryReproducibility of ResultsBenchmarkingComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyMulticenter studyProteomeBenchmark (computing)Molecular MedicineData miningbusinesscomputerAlgorithmsSoftwareBiotechnologyNature Biotechnology
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mTOR inhibition in diffuse large B-cell lymphoma: new hope?

2016

0301 basic medicineLymphoma B-Cellbusiness.industryHematologymedicine.diseaseImmunohistochemistryLymphoma03 medical and health sciences030104 developmental biology0302 clinical medicineText miningmedicine.anatomical_structure030220 oncology & carcinogenesismedicineCancer researchImmunohistochemistryHumansLymphoma Large B-Cell DiffusebusinessDiffuse large B-cell lymphomaPI3K/AKT/mTOR pathwayB cellThe Lancet. Haematology
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Better together than alone: the cumulus benefits.

2018

0301 basic medicineMale030219 obstetrics & reproductive medicinebusiness.industryMEDLINEObstetrics and GynecologyBiologyBioinformaticsSpermatozoa03 medical and health sciences030104 developmental biology0302 clinical medicineText miningmedicine.anatomical_structureReproductive MedicineOvarian FolliclemedicineHumansFemaleSperm Injections IntracytoplasmicOvarian folliclebusinessFertility and sterility
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The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making

2017

International audience; Aim: The primary aim of this study was to evaluate 23 pathogens associated with peri-implantitis at inner part of implant connections, in peri-implant and periodontal pockets between patients suffering peri-implantitis and participants with healthy peri-implant tissues; the secondary aim was to estimate the predictive value of microbiological profile in patients wearing dental implants using data mining methods.Material and Methods: Fifty participants included in the present case─control study were scheduled for collection of plaque samples from the peri-implant pockets, internal connection, and periodontal pocket. Real-time polymerase chain reaction was performed to…

0301 basic medicineMalePeri-implantitisGingival and periodontal pocketAlveolar Bone LossDentistry0302 clinical medicineRadiography DentalMedicinePeri-implantitisperiodontitis[SDV.MHEP.RSOA] Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system[SDV.MHEP.GEG] Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology[SDV.MHEP.GEG]Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontologyMiddle AgedPredictive value3. Good healthDental Implantation[SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal systemFemaleOral SurgeryInfectionperi-implantitisAdultDecision treesClinical Decision-MakingDental PlaqueDental plaqueReal-Time Polymerase Chain Reaction03 medical and health sciencesHumansPeriodontal PocketPeriodontitisParvimonas micraData miningAgedPeriodontitisDental Implantsdecision treesbusiness.industryCase-control studydata mining; decision trees; infection; peri-implantitis; periodontitis030206 dentistrydata miningmedicine.diseaseinfection030104 developmental biologyCase-Control StudiesImplantbusinessTooth
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Conf-VLKA: A structure-based revisitation of the Virtual Lock-and-key Approach

2016

In a previous work, we developed the in house Virtual Lock-and-Key Approach (VLKA) in order to evaluate target assignment starting from molecular descriptors calculated on known inhibitors used as an information source. This protocol was able to predict the correct biological target for the whole dataset with a good degree of reliability (80%), and proved experimentally, which was useful for the target fishing of unknown compounds. In this paper, we tried to remodel the previous in house developed VLKA in a more sophisticated one in order to evaluate the influence of 3D conformation of ligands on the accuracy of the prediction. We applied the same previous algorithm of scoring and ranking b…

0301 basic medicineMaterials Chemistry2506 Metals and AlloysInhibitorStructure-basedComputer scienceProtein ConformationProtein Data Bank (RCSB PDB)Molecular ConformationTarget fishingMolecular Dynamics Simulationcomputer.software_genreLigands01 natural sciencesDockingVlka03 medical and health sciencesMolecular descriptorMaterials ChemistryHumansPhysical and Theoretical ChemistryCluster analysisDatabases ProteinSimulationSpectroscopyBinding SitesProteinscomputer.file_formatDescriptorProtein Data BankComputer Graphics and Computer-Aided Design0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyProtein–ligand dockingBiological targetDocking (molecular)Biological targetStructure basedLigand-basedData miningcomputerAlgorithmsSoftwareProtein Binding
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