应002资讯网、数学研究院邀请，华中师范大学张晓飞教授将于近日在公司作关于生物信息学方面的学术报告，欢迎感兴趣的师生参加！

报告题目：基于机器学习方法的单细胞RNA测序数据缺失值填充

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 an individual cell in the context of its 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, we will introduce our recent studies for recovering gene expression for scRNA-seq by imputing the dropout events. Several experiments will be conducted to show the competitive performance of the proposed methods.

报告时间：2020年10月16日16:10 -16:50

报告地点：明德楼201

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。现主持国家自然科学基金面上项目1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。国家自然科学基金讯评审专家。已在Bioinformatics（第一作者或通讯作者发表7篇）、 IEEE transactions on Cybernetics（第一作者或通讯作者发表2篇）、 IEEE Transactions on Image Processing、BMC Bioinformatics、BMC Genomics、IEEE/ACM Transactions on Computational Biology and Bioinformatics等学术期刊发表学术论文40余篇。