EXPERIMENTAL DESIGN & ANALYSIS FOR EXPRESSION MICROARRAY

描述：(申请人描述) 这个项目的第一阶段将开发统计方法 的基因表达微阵列实验设计与分析 统计学原理。我们的实验设计将允许科学家 使用微阵列技术进行经典(ANOVA风格)实验。 设计性实验提供了质量控制、标准化和一种 考虑多个变异源的分析。新分析 工具的开发将基于实验设计和我们的 项目此阶段生成的阵列数据的经验。我们会 建立基本基础设施，包括信息学工具，以 杰克逊实验室的微阵列分析。我们将制定一个详细的 策略，这是既稳健又有效的，用于大规模基因调查 小鼠乳腺和卵巢模型组织标本中的表达 癌症。我们项目的第二阶段将涉及到执行以下操作 调查的目的是根据以下因素对肿瘤类型进行分类和表征 表达式数据。表达式数据将与可用数据一起分析 关于肿瘤的病理和遗传背景的信息 肿瘤类型出现。该项目的最终目标是提供一个 表情分析的常规做法有良好的统计基础 小鼠肿瘤。这是我们的前提，实验设计和设计为基础 分析工具对于获得高质量的表达信息至关重要 以合理的价格。

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.