Search results for "Mining"

showing 10 items of 1730 documents

How to deal with Haplotype data: An Extension to the Conceptual Schema of the Human Genome

2016

[EN] The goal of this work is to describe the advantages of the application of Conceptual Modeling (CM) in complex domains, such as genomics. Nowadays, the study and comprehension of the human genome is a major challenge due to its high level of complexity. The constant evolution in the genomic domain contributes to the generation of ever larger amounts of new data, which means that if we do not manage it correctly data quality could be compromised (i.e., problems related with heterogeneity and inconsistent data). In this paper, we propose the use of a Conceptual Schema of the Human Genome (CSHG), designed to understand and improve our ontological commitment to the domain and also extend (e…

0301 basic medicinehaplotypesGeISHigher education0206 medical engineeringconceptual modelingLibrary science02 engineering and technologystatistical modelscomputer.software_genreGenomelcsh:QA75.5-76.95Conceptual schema03 medical and health sciencesExtension (metaphysics)Sociologybusiness.industryHaplotypeGeneral MedicineConceptual modelingStatistical models030104 developmental biologyHaplotypesGenetic diagnosisChristian ministryHuman genomelcsh:Electronic computers. Computer scienceData miningbusinessGenetic diagnosiscomputer020602 bioinformaticsgenetic diagnosis.
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Methods for RNA Modification Mapping Using Deep Sequencing: Established and New Emerging Technologies

2019

New analytics of post-transcriptional RNA modifications have paved the way for a tremendous upswing of the biological and biomedical research in this field. This especially applies to methods that included RNA-Seq techniques, and which typically result in what is termed global scale modification mapping. In this process, positions inside a cell`s transcriptome are receiving a status of potential modification sites (so called modification calling), typically based on a score of some kind that issues from the particular method applied. The resulting data are thought to represent information that goes beyond what is contained in typical transcriptome data, and hence the field has taken to use …

0301 basic medicinelcsh:QH426-470Computer scienceProcess (engineering)Emerging technologieschemical treatmentNext Generation Sequencingengineered Reverse Transcriptase enzymesRNA-SeqReviewcomputer.software_genreDeep sequencingField (computer science)deep sequencing03 medical and health sciences0302 clinical medicineepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsAnimalsHumansRNA-SeqRNA Processing Post-TranscriptionalComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNAbusiness.industryScale (chemistry)High-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyRNA modificationTerm (time)lcsh:Genetics030104 developmental biologyAnalyticsRNAData miningbusinesscomputer030217 neurology & neurosurgeryGenes
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Toxicity of biomining effluents to Daphnia magna: Acute toxicity and transcriptomic biomarkers

2018

Increasing metal consumption is driving the introduction of new techniques such as biomining to exploit low grade ores. The biomining impacts notably aquatic ecosystems, yet, the applicability of ecotoxicological tests to study the complex mixture effects of mining waters is insufficiently understood. The aim of the present work was to test if transcriptomic biomarkers are suitable and sensitive for the ecotoxicity assessment of biomining affected waters. The study site had been affected by a multimetal biomine, and the studied water samples formed a concentration gradient of contamination downstream from the biomining site. Cadmium and nickel were used as positive controls in the toxicity …

0301 basic medicinelähetti-RNAHealth Toxicology and Mutagenesis010501 environmental sciences01 natural sciencesNickelmetallitmixture toxicityCadmiumbioliuotusbiologyvesien saastuminenChemistryGeneral MedicineContaminationPollutiontranskriptio (biologia)Environmental chemistryToxicitykaivosvesiCadmiumkaivoksetmining effluentEnvironmental EngineeringmRNAta1172Daphnia magnametalschemistry.chemical_elementBiominingmyrkyllisyysMining03 medical and health sciencesToxicity Tests AcuteAnimalsEnvironmental ChemistryEffluent0105 earth and related environmental sciencesPublic Health Environmental and Occupational HealthGeneral Chemistrybiology.organism_classificationAcute toxicitysub-lethal030104 developmental biologyDaphniaGene Expression RegulationmarkkeritvesikirputbioleachingEcotoxicityTranscriptomeBiomarkersChemosphere
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Text mining and expert curation to develop a database on psychiatric diseases and their genes

2017

Psychiatric disorders constitute one of the main causes of disability worldwide. During the past years, considerable research has been conducted on the genetic architecture of such diseases, although little understanding of their etiology has been achieved. The difficulty to access up-to-date, relevant genotype-phenotype information has hampered the application of this wealth of knowledge to translational research and clinical practice in order to improve diagnosis and treatment of psychiatric patients. PsyGeNET (http://www.psygenet.org/) has been developed with the aim of supporting research on the genetic architecture of psychiatric diseases, by providing integrated and structured accessi…

0301 basic medicinemedia_common.quotation_subjectLibrary scienceMental disordersHealth informaticsGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicinePlatformExcellencePolitical scienceDatabases GeneticGeneticsData MiningHumansData miningData Curationmedia_commonGlobal burdenDisordersData curationbusiness.industryMental DisordersData science3. Good health030104 developmental biologyOriginal ArticleChristian ministryGeneral Agricultural and Biological Sciencesbusiness030217 neurology & neurosurgerySoftwareInformation Systems
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Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing ‘atypical’ (compared to ‘typical’ in healthy people) brain profiles. Moreover, some of these patients suffer from drug-resistant epilepsy, and they undergo surgery to stop seizures. The neurosurgeon should only remove the zone generating seizures and must preserve cognitive functions to avoid deficits. To preserve functions, one sho…

0301 basic medicinemedicine.medical_specialtyCognitive Neuroscience[SCCO.COMP]Cognitive science/Computer scienceAudiologyExtreme Gradient Boostinglcsh:Computer applications to medicine. Medical informaticsArticle03 medical and health sciencesEpilepsy0302 clinical medicineText miningMachine learningmedicineLanguagelcsh:Computer softwareEpilepsyCognitive mapReceiver operating characteristicbusiness.industryCognitionNeurophysiologymedicine.diseaseMLComputer Science ApplicationsStatistical classificationlcsh:QA76.75-76.765030104 developmental biologyNeurologyBinary classification[ SCCO.COMP ] Cognitive science/Computer sciencelcsh:R858-859.7Artificial intelligencePsychologybusiness030217 neurology & neurosurgeryAtypicalXGBoost
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Changing paradigm in mild traumatic brain injury research

2016

0301 basic medicinemedicine.medical_specialtyTraumatic brain injurybusiness.industryMEDLINEmedicine.disease03 medical and health sciencesCellular and Molecular Neuroscience030104 developmental biology0302 clinical medicinePhysical medicine and rehabilitationText miningAnesthesiamedicinebusiness030217 neurology & neurosurgeryJournal of Neuroscience Research
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Editorial: Protein Interaction Networks in Health and Disease

2016

The identification and annotation of protein-protein interactions (PPIs) is of great importance in systems biology. Big data produced from experimental or computational approaches allow not only the construction of large protein interaction maps but also expand our knowledge on how proteins build up molecular complexes to perform sophisticated tasks inside a cell. However, if we want to accurately understand the functionality of these complexes, we need to go beyond the simple identification of PPIs. We need to know when and where an interaction happens in the cell and also understand the flow of information through a protein interaction network. Another perspective of the research on PPI n…

0301 basic medicineprotein networkdiseasePhysiologySystems biologyCellular homeostasissystems biologyComputational biologyprotein functionBiologyProteomicscomputer.software_genreprotein interactionsInteractomeProtein–protein interaction03 medical and health sciences030104 developmental biologyHuman interactomeInteraction networkGeneticsMolecular MedicineData miningcomputerGenetics (clinical)Biological networkFrontiers in Genetics
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Grapes: a method and a SAS program for graphical representations of assessor performances

1994

GRAPES computes individual and global analyses of variance for sensory profiling data, consisting of several sessions in which all the panelists gave scores to all the products for a number of attributes. The fitted model takes into account the session effect. GRAPES summarizes the results by means of graphical assessor scatterplots which allow to check and to compare panelist performances, such as the way of using scale, the reliability, the discrimination power and the agreement with the panel. In addition, GRAPES detects the outliers for each of these criterion. The usefulness of GRAPES for the panel leader will be demonstrated using texture and flavor profiling of 4 restructured steaks …

0303 health sciences030309 nutrition & dieteticsComputer sciencebusiness.industry[SDV]Life Sciences [q-bio]Computer aidTEST DE CONSOMMATION04 agricultural and veterinary sciencescomputer.software_genre040401 food scienceSensory analysisSensory Systems[SDV] Life Sciences [q-bio]03 medical and health sciences0404 agricultural biotechnologyOutlierProfiling (information science)Data miningArtificial intelligenceGraphicsbusinesscomputerComputingMilieux_MISCELLANEOUSFood Science
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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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Unlock ways to share data on peer review

2020

Peer review is the defining feature of scholarly communication. In a 2018 survey of more than 11, 000 researchers, 98% said that they considered peer review important or extremely important for ensuring the quality and integrity of scholarly communication.

0303 health sciencesMultidisciplinarybusiness.industry05 social sciencesdata miningPublic relations050905 science studiesResearch managementBibliometrics ; Scientometrics ; Research Integrity03 medical and health sciencesWork (electrical)Publishingpeer review data miningpeer reviewSociology0509 other social sciencesbusiness030304 developmental biology
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