Mathematical Sciences: Statistical Issues in Molecular Biology, Sequential Analysis and Regression with Missing Explanatory Variables

数学科学：分子生物学中的统计问题、缺失解释变量的序贯分析和回归

• 批准号: 9104990
• 负责人: Herman Chernoff
• 金额: $ 7.33万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-08-15 至 1995-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9104990&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Statistical; Issues; Molecular

This research examines in detail a variety of scientific questions where there is a natural expression of the phenomena or of the search for their explanation in terms of a sequential process. Such problems arise in the study of the human genome, particularly in connection with possible sequencing errors which may be present in the various copies. There are also many examples in quality control problems, particularly in case of serial dependence. The common mathematical thread in these particular examples is the derivation of an accurate solution from a combination of several sources of information each of which may be subject to noise.

这项研究详细审查了各种科学 有自然现象的问题，或 对它们的解释是， 过程 这些问题出现在人类基因组的研究中， 特别是与可能的测序错误有关， 可能存在于不同的副本中。 也有不少 质量控制问题的例子，特别是在 序列依赖 在这些问题中， 一个特殊的例子是一个精确的解决方案的推导 从几个信息来源的组合， 其可能受到噪声的影响。