NONPARAMETRIC ESTIMATION OF Q VALUES AND POSTERIOR ERROR PROBABILITIES

Q 值和后验误差概率的非参数估计

• 批准号: 7957811
• 负责人: William Noble
• 金额: $ 1.43万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7957811
• 关键词: Biology; Computer Retrieval of Information on Scientific Projects Database; Funding; Fungal Genome; Grant; Institution; Internet; Licensing; Logistic Regressions; Measures; Probability; Procedures; Relative (related person); Research; Research Personnel; Resources; Source; Source Code; Testing; United States National Institutes of Health; analog; programs; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. SUMMARY: Qvality is a C++ program for estimating two types of standard statistical confidence measures: the q value, which is an analog of the p value that incorporates multiple testing correction, and the posterior error probability (PEP, also known as the local false discovery rate), which corresponds to the probability that a given observation is drawn from the null distribution. In computing q values, Qvality employs a standard bootstrap procedure to estimate the prior probability of a score being from the null distribution; for PEP estimation, Qvality relies upon nonparametric logistic regression. Relative to other tools for estimating statistical confidence measures, Qvality is unique in its ability to estimate both types of scores directly from a null distribution, without requiring the user to calculate p values. AVAILABILITY: A web server, C++ source code and binaries are available under MIT license at http://noble.gs.washington.edu/proj/qvality.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 摘要：Qvality是一个C ++程序，用于估计两种类型的标准统计置信度度量：Q值，它是P值的类似物，其中包含多个测试校正，而后验误差概率（PEP，也称为局部错误发现率），与从空分布中得出的概率相对应。在计算Q值时，QVality采用标准的引导程序来估计得分来自零分布的先验概率；为了估计，QVALITY依赖于非参数逻辑回归。相对于估计统计置信度度量的其他工具，QVALITY在无需计算p值的情况下直接从零分布中估算两种类型的分数的能力是独一无二的。可用性：Web服务器，C ++源代码和二进制文件可在MIT许可证上获得http://noble.gs.washington.edu/proj/qvality。