Algorithms for comparing biological graph structures

比较生物图结构的算法

• 批准号: 204923-2008
• 负责人: Evans, Patricia
• 金额: $ 1.09万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503314
• 关键词: Algorithms; comparing; biological; graph; structures

Finding meaning in biological data typically requires a search for common patterns. Finding features that are common to or distinguish sets of biological patterns helps us to determine the function of features, classify the structures, and make hypotheses for future experimentation. However, we must find these features by analyzing large amounts of complex data, so we need innovative computational techniques for comparing this data to extract relevant features.

在生物数据中寻找意义通常需要寻找共同的模式。发现生物模式的共同特征或区分特征有助于我们确定特征的功能，对结构进行分类，并为未来的实验做出假设。然而，我们必须通过分析大量复杂的数据来发现这些特征，因此我们需要创新的计算技术来比较这些数据以提取相关的特征。