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生命科学中的数据挖掘:个性化医疗之路

Data Mining in the Life Sciences: The Path to Personalized Medicine
课程网址: http://videolectures.net/mlpmsummerschool2013_borgwardt_data_mini...  
主讲教师: Karsten Michael Borgwardt
开课单位: 马克斯·普朗克研究所
开课时间: 2014-05-13
课程语种: 英语
中文简介:
在本课程中,我们将介绍生命科学中常见的数据挖掘问题以及解决这些问题的最新方法。这些问题包括传统生物信息学中出现的问题,如序列分析和结构比较,以及最近研究的遗传和转录组水平上的个体间变异及其与表型变异的联系。我们将描述这两个不同的生物信息学分支——分子和以个体为中心的生物信息学的结合如何为个性化医疗铺平道路,以及在此过程中必须克服哪些数据挖掘问题。
课程简介: In this course, we will describe common data mining problems in the life sciences and state-of-the-art approaches for solving them. These problems include questions that arise traditionally in bioinformatics, such as sequence analysis and structural comparisons, and those which have been studied more recently, the inter-individual variation on the genetic and transcriptomic level and its link to phenotypic variation. We will describe how the combination of these two different branches of bioinformatics, molecule- and individual-centered bioinformatics, may pave the way to personalized medicine and which data mining problems have to be overcome along this way.
关 键 词: 生命科学; 数据挖掘; 个性化医疗
课程来源: 视频讲座网
数据采集: 2021-12-11:zkj
最后编审: 2021-12-11:zkj
阅读次数: 41