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Statistical methods and tools for integrative microarray analysis

Statistical methods and tools for integrative microarray analysis
综合微阵列分析的统计方法和工具
批准号:
DP0770395
负责人:
Prof Jean Yang
金额:
$17.69万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2007
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2007-02-01 至 2010-12-31

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中文摘要
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英文摘要
Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provides new statistical methods to integrate different data sets. Its application in the biomedical field will allow researchers to effectively interpret the myriad of data generated within the community.
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Prognosis based network-type feature extraction for complex biological data
  • 批准号:
    DP170100654
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $24.81万
  • 财政年份:
    2017
  • 负责人:
    Prof Jean Yang
  • 依托单位:
Statistical bioinformatics for network based prognostic and precision therapy in complex disease
  • 批准号:
    nhmrc : GNT1111338
  • 项目类别:
    Career Development Fellowships
  • 资助金额:
    $46.37万
  • 财政年份:
    2016
  • 负责人:
    Prof Jean Yang
  • 依托单位:
Statistical bioinformatics for network based prognostic and precision therapy in complex disease
  • 批准号:
    nhmrc : 1111338
  • 项目类别:
    Career Development Fellowships
  • 资助金额:
    $31.9万
  • 财政年份:
    2016
  • 负责人:
    Prof Jean Yang
  • 依托单位:
Vertically integrated statistical modelling in multi-layered omics studies
  • 批准号:
    DP130100488
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $27.72万
  • 财政年份:
    2013
  • 负责人:
    Prof Jean Yang
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data