图 书 馆
图形马尔可夫模型的系统遗传学Systems genetics with graphical Markov models |
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| 课程网址: | http://videolectures.net/ESHGsymposium2016_castelo_systems_geneti... |
| 主讲教师: | Robert Castelo |
| 开课单位: | 庞培法布拉大学 |
| 开课时间: | 2016-07-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | High-throughput genomic profiling instruments provide a snapshot of the simultaneous activity of molecules within cells. The resulting readouts, obtained in parallel for thousands of different functional elements in the genome, have enabled the analysis of cellular pathways at the systems level. A simple, fundamental and primary type of such an analysis consists of assessing changes across experimental conditions independently in each molecular profile. Yet, the fact that these data constitute a multivariate sample conveys the opportunity for us to gather additional insight by examining direct and indirect effects between genome elements such as genes and mutations. Graphical Markov models (GMMs), developed at the crossroads of graph theory, machine learning and statistics, are a sensible approach to pursue this goal. In this talk I will introduce GMMs and our recent work on how to use them to study the genetics of gene expression using the software qpgraph, developed in our group. I encourage the audience to bring along their laptops with the latest version of R and the Bioconductor package qpgraph installed, to try to work out together some of the examples given during the talk. |
| 关 键 词: | 基因组; 细胞; 图形模型 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-21：yxd |
| 最后编审: | 2021-12-20：liyy |
| 阅读次数: | 28 |