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Some Statistical Methods for Single-cell Genomics

编辑:wfy 时间:2019年03月14日 访问次数:619

题目:Some Statistical Methods for Single-cell Genomics

报告人:Zhixiang Lin (香港中文大学)

时间:2019.03.25(周一)上午 10:30

地点:紫金港校区管理学院行政楼14楼1417报告厅

摘要:

Some recent work regarding the analysis of single-cell chromatin accessibility (scATAC-Seq) and single-cell gene expression (scRNA-Seq) data will be discussed. First, we will present scABC, a toolkit for analyzing scATAC-Seq data, and extensions that improve rare cell population detection. Second, a model-based framework for the joint analysis of scATAC-Seq and scRNA-Seq data will be presented. We show that the underlying cell types can be better characterized through the joint analysis.

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联系人:蒋杭进 (jianghj@zju.edu.cn)