Semi-automated genome annotation using Gaussian mixture models and Segway

使用高斯混合模型和 Segway 进行半自动基因组注释

• 批准号: 364308
• 负责人: Chan Rachel C
• 金额: $ 0.36万
• 依托单位: University Health Network (Toronto)
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2017-05-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=364308&lang=en
• 关键词: Genome Annotation; Ics Studentship; Machine Learning

This project will develop improved methods of pattern recognition in a program called 'Segway' that automatically finds patterns in genomic data. Segway is able to recognize patterns in large sets of multidimensional data, which are very difficult for hum

该项目将在一个名为“Segway”的程序中开发改进的模式识别方法，该程序可以自动发现基因组数据中的模式。Segway能够识别大量多维数据中的模式，这对于hum来说是非常困难的