EXPERIMENTAL DESIGN & ANALYSIS FOR EXPRESSION MICROARRAY

实验设计

• 批准号: 6661154
• 负责人: Gary A Churchill
• 金额: $ 40.01万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-13 至 2004-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6661154
• 关键词: breast neoplasms; carcinogenesis; experimental designs; female; gene expression; health science research analysis /evaluation; image processing; informatics; laboratory mouse; microarray technology; molecular biology information system; neoplasm /cancer classification /staging; ovary neoplasms; statistics /biometry

DESCRIPTION: (Applicant's Description) This first phase of this project will develop statistical methods for the design and analysis of gene expression microarray experiments based on statistical principles. Our experimental designs will allow a scientist to carry out classical (ANOVA style) experiments using microarray technology. Designed experiments offer quality control, normalization and a method of analysis that takes multiple sources of variation into account. New analysis tools will be developed based on the experimental designs and on our experience with array data generated in this phase of the project. We will establish the basic infrastructure, including informatics tools, for microarray analysis at the Jackson Laboratory. We will develop a detailed strategy, that is both robust and efficient, for a large scale survey of gene expression in tissue samples obtained from mouse models of mammary and ovarian cancers. The second phase of our project will involve carrying out this survey with the goal of classifying and charactering tumor types based on expression data. The expression data will be analyzed together with available information on the pathology of the tumor and the genetic background in which the tumor type arises. The ultimate goal of this project is to provide a sound statistical basis for the routine practice of expression profiling of mouse tumors. It is our premise that experimental design and design-based analysis tools are essential to obtaining high quality expression information at a reasonable cost.

描述：（申请人的描述） 该项目的第一阶段将制定统计方法， 基因表达微阵列实验的设计与分析 统计原则。 我们的实验设计将使科学家 使用微阵列技术进行经典（ANOVA风格）实验。 设计性实验提供质量控制、标准化和 这是一种考虑多种变异来源的分析。 新的分析 工具将根据实验设计和我们的 在项目的此阶段生成的阵列数据方面的经验。 我们将 建立基本的基础设施，包括信息学工具， 杰克逊实验室的微阵列分析。 我们将制定详细的 一种既稳健又有效基因大规模调查策略 从乳腺和卵巢癌小鼠模型获得的组织样品中的表达 癌的 我们项目的第二阶段将涉及执行这一点， 调查的目标是分类和表征肿瘤类型的基础上， 表达数据。 表达数据将与可用的 关于肿瘤病理学和遗传背景的信息， 肿瘤类型出现。 该项目的最终目标是提供一个 表达谱分析的常规实践的良好统计基础 小鼠肿瘤。 实验设计和基于设计的 分析工具对于获得高质量的表达信息是必不可少的 以合理的成本。