Core--Statistical Analysis of Toxics Measurement Data

这个项目有两个目的。该项目作为统计和生物信息学的核心，将为其他超级基金项目提供统计和数据库支持。这通常涉及协助实验设计、数据分析和解释、提出和开发适当的数据分析统计方法以及存储和分析微阵列、质谱学和核磁共振谱数据。此外，这个项目 建议开发和改进统计方法和算法，用于分析毒物测量数据、基因表达数据、蛋白质组学数据，并创建新的和改进的测量技术。特别强调利用微阵列(包括免疫阵列、DNA阵列和寡核苷酸阵列)、质谱学和核磁共振来设计和分析实验的新的统计方法 这些数据密集型方法还可帮助满足生物信息学方面的需求。我们将帮助处理背景和基线校正、峰对齐、复合识别、非线性校正、非常数方差、离群值、接近或低于检测下限的值以及高维和大数据集等问题。许多分析方法可以通过仔细的统计设计和 对数据进行分析。这对人类健康可能很重要，因为它允许以同样的成本更频繁地监测危险场所或暴露的人体生物标记物，而且它有助于开发和使用分析技术，以较现有方法更低的水平和更高的准确度在临床和现场检测有毒物质。

This project has two purposes. As the statistics and bioinformatics core, the project will provide statistical and database support to other superfund projects. This will typically involve assistance in experimental design, in the analysis and interpretation of data, in the proposal and development of appropriate statistical methods of data analysis, and in the storage and analysis of microarray, mass spectrometry, and NMR spectroscopy data. In addition, this project proposes the development and refinement of statistical methods and algorithms for the analysis of toxics measurement data, gene expression data, proteomics data, and for the creation of new and improved measurement techniques. A particular emphasis is on the development of new statistical methods for design and analysis of experiments using microarrays (including immunoarrays, DNA arrays, and oligonucleotide arrays), mass spectrometry, and NMR spectroscopy, as well as assisting with the bioinformatics needs associated with these data-intensive methods. We will help deal with such problems as background and baseline correction, peak alignment, compound identification, nonlinear calibration, nonconstant variance, outliers, values near or below detection limits, and high-dimensional and large data sets. Many analytical methods can be made more efficient and effective by careful statistical design and analysis of the data. This may be important to human health, since it allows more frequent monitoring of hazardous sites or for human biomarkers of exposure for the same cost, and since it aids in the development and use of analytical techniques to detect toxic substances both clinically and in the field at lower levels and with greater accuracy than existing methods.