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Data Analytic Services Core

Data Analytic Services Core
数据分析服务核心
批准号:
10746902
负责人:
BRIAN David ATHEY
金额:
$23.4万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2028-06-30
关键词:
AddressAdvocateAreaBackBiological ModelsCategoriesCellsClinicalClinical MarkersClinical TrialsCohort StudiesCollaborationsCommunitiesCommunity OutreachCore FacilityCritical PathwaysCustomDataData AnalysesData AnalyticsData SetDatabasesDevelopmentDiagnosisDisease ProgressionEducationEffectivenessEnsureEpidemiologyEvaluation of Risk FactorsFeedbackGene ExpressionGeneticGenotypeGoalsHealth systemHematologyHistologicHumanIndividualInjuryInjury to KidneyInstitutionInterventionKidneyKidney DiseasesKnowledgeKnowledge ExtractionLinkMapsMichiganMolecularMultiomic DataMusNational Institute of Diabetes and Digestive and Kidney DiseasesOnline SystemsOutcomeParticipantPathway interactionsPatientsPerformancePersonsPhenotypeProcessProtocols documentationResearchResearch PersonnelResearch TrainingResource DevelopmentResourcesSamplingServicesSocial NetworkStructureSystemSystems BiologyTarget PopulationsTherapeuticTraining ProgramsTranslational ResearchTranslationsUniversitiesUpdateUrologyValidationVisionWorkanalytical toolbasebench to bedsidecatalystcohortdata explorationdata integrationdata managementdata miningdata resourcedata sharingdesigndisadvantaged studentdisorder riskempowermentequity, diversity, and inclusionhuman diseasehuman modelimprovedinnovationinterestknowledgebaselarge scale datalarge-scale databaselongitudinal analysismolecular markermouse modelmultiscale datanephrogenesisnoveloutreachpatient populationphenotypic datapre-clinicalpredictive modelingprogramssearch enginesharing platformtooltreatment responsetreatment strategyuser-friendlyweb portal

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中文摘要
翻译
摘要-数据分析服务核心(dasc)
英文摘要
ABSTRACT - DATA ANALYTIC SERVICES CORE (DASC) The main goal of the University of Michigan O'Brien Kidney Translational Resource Center (MKTC) is to provide an effective translational research pipeline to develop novel, mechanistic treatment strategies for patients with kidney diseases. The continuing need of kidney researchers to mine and extract pertinent knowledge from multi-scalar data sets has necessitated a new Data Analytic Services Core (DASC). DASC will support the investigators by assembling large-scale data sets derived from the clinical cohort studies and trials, from model system studies from the renal research community at large. The key objectives of the DASC will be to empower investigators to independently mine multi-scale data sets, specifically to: (a) Understand kidney development and injury in global molecular terms in human disease and models; (b) Define molecular and clinical markers of diagnosis and progression; (c) Identify critical pathways for therapeutic attack; (d) Identify patient populations for focused clinical trials; (e) Perform longitudinal analysis of multi-scale data linking molecular and phenotypic data; (f) Identify subjects at risk of disease or disease progression; and (g) Link specific cohorts with background health systems data to permit risk factor evaluation, prediction modeling, and outcomes analyses among those not recruited/sampled in specific cohort studies. The data set(s) hosted by the DASC will span the full translational research pipeline from preclinical kidney disease model system studies to the human cohort data sets derived. This data will be loaded into DASC-hosted data mining and sharing platforms which have been developed to enable integration of multi-scale data sets to be mined, analyzed, and shared by research base investigators. The data mining and analytic interfaces to interrogate genetic, molecular, histological, or clinical features of interest have been specifically developed towards the needs of the renal researcher. The DASC will continue this development trajectory while enabling use by the MKTC research community. The core will provide a suite of independent and complimentary platform approaches serving distinct needs of the research user personas we have defined in our reginal, national and global kidney research community.
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Training Program in Bioinformatics
BENCHMARKING OF COMPUTATIONAL MEDICINE AND BIOLOGY RESEARCH APPLICATIONS
  • 批准号:
    7601413
  • 项目类别:
  • 资助金额:
    $0.03万
  • 财政年份:
    2007
  • 负责人:
    BRIAN David ATHEY
  • 依托单位:
BENCHMARKING OF COMPUTATIONAL MEDICINE AND BIOLOGY RESEARCH APPLICATIONS
  • 批准号:
    7601410
  • 项目类别:
  • 资助金额:
    $0.03万
  • 财政年份:
    2007
  • 负责人:
    BRIAN David ATHEY
  • 依托单位:
Training Program in Bioinformatics
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