Data Analytic Services Core

数据分析服务核心

基本信息

  • 批准号:
    10746902
  • 负责人:
  • 金额:
    $ 23.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2028-06-30
  • 项目状态:
    未结题

项目摘要

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.
摘要-数据分析服务核心(dasc)

项目成果

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专利数量(0)

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BRIAN David ATHEY其他文献

BRIAN David ATHEY的其他文献

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{{ truncateString('BRIAN David ATHEY', 18)}}的其他基金

Training Program in Bioinformatics
生物信息学培训计划
  • 批准号:
    7885833
  • 财政年份:
    2009
  • 资助金额:
    $ 23.4万
  • 项目类别:
BENCHMARKING OF COMPUTATIONAL MEDICINE AND BIOLOGY RESEARCH APPLICATIONS
计算医学和生物学研究应用的基准测试
  • 批准号:
    7601413
  • 财政年份:
    2007
  • 资助金额:
    $ 23.4万
  • 项目类别:
BENCHMARKING OF COMPUTATIONAL MEDICINE AND BIOLOGY RESEARCH APPLICATIONS
计算医学和生物学研究应用的基准测试
  • 批准号:
    7601410
  • 财政年份:
    2007
  • 资助金额:
    $ 23.4万
  • 项目类别:
Training Program in Bioinformatics
生物信息学培训计划
  • 批准号:
    7465553
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:
National Center for Integrative Biomedical Informatics(RMI)
国家综合生物医学信息中心(RMI)
  • 批准号:
    7937356
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:
The University of Michigan Bioinformatics Training Program
密歇根大学生物信息学培训项目
  • 批准号:
    9296142
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:
Nation Center- Integrative Biomedical Informatics(RMI)
国家中心-综合生物医学信息学(RMI)
  • 批准号:
    7678085
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:
Training Program in Bioinformatics
生物信息学培训计划
  • 批准号:
    8880237
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:
Nation Center- Integrative Biomedical Informatics(RMI)
国家中心-综合生物医学信息学(RMI)
  • 批准号:
    7126894
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:
National Center for Integrative Biomedical Informatics(RMI)
国家综合生物医学信息中心(RMI)
  • 批准号:
    7669369
  • 财政年份:
    2005
  • 资助金额:
    $ 23.4万
  • 项目类别:

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