ANOVA-Based Approaches to Time-Series Microarray Data

基于方差分析的时间序列微阵列数据方法

基本信息

  • 批准号:
    7280942
  • 负责人:
  • 金额:
    $ 4.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-09-30 至 2008-09-29
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): There is a need to integrate statistical significance with biological relevance when considering dynamic changes in transcriptional response in biomedical research. Towards this end, methodologies based on analysis of variance (ANOVA) will be developed to detect differentially expressed genes in time course microarray data through focused contrasts and trend tests within and between treatment conditions. The efficiency of these ANOVA-based analyses will be compared with empirical Bayes methods and B-spline fitting analyses to synthesize new methodologies that incorporate the best features of the various approaches. Next, statistically relevant associations between gene lists derived from the ANOVA method and known biological processes will be used to uncover relationships important in studies of sleep deprivation in brain tissue sampled for flies and mice and factors influencing osteocyte and adipocyte differentiation in UAMS-33 mouse cell cultures. Finally, confirmatory real-time quantitative PCR assays will be designed and applied to the UAMS-33 mouse cell line experiments with higher frequency time point sampling in order to build graphical models that finely characterize the time dynamics of this system.
描述(由申请人提供):在考虑生物医学研究中转录反应的动态变化时,需要将统计显着性与生物学相关性结合起来。为此,将开发基于方差分析(ANOVA)的方法,通过治疗条件内和治疗条件之间的集中对比和趋势测试来检测时程微阵列数据中的差异表达基因。这些基于方差分析的分析的效率将与经验贝叶斯方法和 B 样条拟合分析进行比较,以综合结合各种方法的最佳特征的新方法。接下来,从方差分析方法得出的基因列表与已知生物过程之间的统计相关关联将用于揭示果蝇和小鼠脑组织样本睡眠剥夺研究中重要的关系,以及影响 UAMS-33 小鼠细胞培养物中骨细胞和脂肪细胞分化的因素。最后,将设计验证性实时定量 PCR 测定,并将其应用于具有更高频率时间点采样的 UAMS-33 小鼠细胞系实验,以建立精细表征该系统时间动态的图形模型。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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KEITH R SHOCKLEY其他文献

KEITH R SHOCKLEY的其他文献

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{{ truncateString('KEITH R SHOCKLEY', 18)}}的其他基金

ANOVA-Based Approaches to Time-Series Microarray Data
基于方差分析的时间序列微阵列数据方法
  • 批准号:
    7055065
  • 财政年份:
    2005
  • 资助金额:
    $ 4.99万
  • 项目类别:
ANOVA-Based Approaches to Time-Series Microarray Data
基于方差分析的时间序列微阵列数据方法
  • 批准号:
    7132120
  • 财政年份:
    2005
  • 资助金额:
    $ 4.99万
  • 项目类别:

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