ITR/IM+AP: Automated Compilation and Computational Analysis of Regulatory Networks

ITR/IM AP：监管网络的自动编译和计算分析

• 批准号: 0121687
• 负责人: Andrey Rzhetsky
• 金额: $ 100万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121687&HistoricalAwards=false
• 关键词: ITR; IM+AP; Automated; Compilation; Computational

EIA-0121687Rzhetsky, AndreyColumbia UniversityITR/IM+AP: Automated compilation and computational analysis of regulatory networksThis project will provide advanced information management systems as well as software applications relevant to the fields of bioinformaticis, molecular biology, and medicine. It will contribute to fundamental Information Management by developing advanced algorithms for the efficient retrieval of information about biological pathways from research articles (using natural language processing techniques), machine-learning-assisted data mining in biological texts, and information management via a uniquely designed database with two levels of representation of biological information.The specific aims of the project are the following: to implement and test natural language processing techniques for the automatic retrieval of signal-transduction pathways from the research literature; to develop general and portable text-mining techniques for the automatic recognition of genes, proteins, and other domain terms, and of relationships between them; and to develop a mathematical framework for the statistical analysis of heterogeneous data on regulatory pathways.

EIA-0121687 Rzhetsky，AndreyColumbiaUniversityITR/IM+AP：监管网络的自动编译和计算分析该项目将提供先进的信息管理系统以及与生物信息学、分子生物学和医学领域相关的软件应用。 它将通过开发先进的算法，从研究文章中有效检索有关生物途径的信息，为基础信息管理做出贡献（使用自然语言处理技术）、机器学习辅助的生物文本数据挖掘，以及通过一个独特设计的数据库进行信息管理，该数据库具有两个生物信息表示层次。实施和测试自然语言处理技术，用于从研究文献中自动检索信号转导途径;开发通用和便携式文本挖掘技术，用于自动识别基因，蛋白质和其他领域术语以及它们之间的关系;并开发一个数学框架，用于对监管途径的异质数据进行统计分析。