Core--Statistical Analysis of Toxics Measurement Data

这个项目有两个目的。作为统计和生物信息学的核心，该项目将为其他超级基金项目提供统计和数据库支持。这通常涉及实验设计，数据分析和解释，数据分析的适当统计方法的建议和开发，以及微阵列，质谱和NMR光谱数据的存储和分析。此外，该项目 提出了发展和完善的统计方法和算法的分析有毒物质的测量数据，基因表达数据，蛋白质组学数据，并创造新的和改进的测量技术。特别强调的是发展新的统计方法，用于设计和分析使用微阵列（包括免疫阵列，DNA阵列和寡核苷酸阵列），质谱和核磁共振的实验 光谱学，以及协助与这些数据密集型方法相关的生物信息学需求。我们将帮助处理背景和基线校正，峰对齐，化合物识别，非线性校准，非恒定方差，离群值，接近或低于检测限的值，以及高维和大型数据集等问题。许多分析方法可以通过仔细的统计设计变得更加高效和有效， 数据分析。这对人类健康可能很重要，因为它可以以同样的成本更频繁地监测危险场所或接触的人体生物标志物，而且它有助于开发和使用分析技术，在临床和实地以比现有方法更低的水平和更高的准确度检测有毒物质。

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.