0000000000109954

AUTHOR

R. Pearson

showing 2 related works from this author

Multiband variability studies and novel broadband SED modeling of Mrk 501 in 2009

2017

Astronomy and astrophysics 603, A31 (2017). doi:10.1051/0004-6361/201629540

extragalactic background lightmultiwavelength observationsAstrophysics::High Energy Astrophysical Phenomenabl-lacertae objectsGalaxies: BL Lacertae objects: individual: Markarian 501 ; Methods: data analysis ; observational ; Polarizationspectral energy-distributionFluxFOS: Physical sciencesAstrophysics01 natural scienceslaw.inventionindividual: Markarian 501 [BL Lacertae objects]lawCoincident0103 physical sciencesddc:530MAGIC (telescope)crab-nebulaBlazardata analysis [Methods]010303 astronomy & astrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)tev blazars010308 nuclear & particles physicsstochastic accelerationtelescope observationsInstitut für Physik und AstronomieAstronomy and AstrophysicsAstronomy and Astrophysicgamma-ray emissionmethods: data analysis520BL Lacertae objects: individual: Markarian 501; Methods: data analysisSynchrotrondata analysi [Methods]BL Lacertae objects: individual: Markarian 501; Methods: data analysis; Astronomy and Astrophysics; Space and Planetary ScienceBL Lacertae objects: individual: Markarian 501x-raySpace and Planetary Scienceddc:520ElectrónicaFísica nuclearElectricidadDegeneracy (mathematics)Astrophysics - High Energy Astrophysical PhenomenaFlareBL Lac object
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

2019

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural ne…

Male/692/4020/1503/257/1402GenotypeGenotyping TechniquesLOCI/45/43lcsh:MedicinePolymorphism Single NucleotideCrohn's disease genetics genome wide associationArticleDeep LearningCrohn DiseaseINDEL MutationGenetics researchHumansgeneticsGenetic Predisposition to Disease/129lcsh:ScienceAllelesScience & Technologygenome wide associationRISK PREDICTION/45Models Geneticlcsh:RDecision Trees/692/308/2056ASSOCIATIONMultidisciplinary SciencesCrohn's diseaseLogistic ModelsNonlinear DynamicsROC CurveArea Under CurveScience & Technology - Other Topicslcsh:QFemaleNeural Networks ComputerINFLAMMATORY-BOWEL-DISEASEGenome-Wide Association StudyScientific Reports
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