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华中师范大学张晓飞教授学术报告通知
发布时间 : 2021-07-23     点击量:

报告题目:Imputing dropout events in single cell RNA sequencing data using machine learning

报告时间:2021年7月27日,星期二,下午2:30-5:30

腾讯会议ID:955 215 028

会议链接:https://meeting.tencent.com/s/d7cfolbCjNCF

报告人:张晓飞教授,华中师范大学

报告摘要:

Single-cell RNA sequencing (scRNA-seq) methods make it possible to reveal gene expression patterns at single-cell resolution, paving a new way for understanding of the function of individual cells in the context of microenvironment. Due to technical defects, dropout events in scRNA-seq will add noise to the gene-cell expression matrix and hinder downstream analysis. Therefore, it is important for recovering the true gene expression levels before carrying out downstream analysis. In this talk, I will present our recent studies for recovering gene expression for scRNA-seq by imputing the dropout events.

报告人简介:

    张晓飞,男,博士。华中师范大学数学与统计学学院教授,博士研究生导师。主要从事基于机器学习方法的大规模生物医学组学数据挖掘研究。已主持国家自然科学基金项目2项,参与国家重点研发计划“精准医学研究”重点专项1项,参与国家自然科学基金重点项目1项。已在Bioinformatics、 Briefings in Bioinformatics、IEEE Transactions等学术期刊发表论文40余篇,开发应用软件包20余个。




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