报告题目：Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization

报告时间：2022年9月13日 星期二 14:00-16:00

报告地点：腾讯会议 ID: 328-757-3757

报告摘要： Single-cell RNA sequencing (scRNA-seq) technologies have been testified revolutionary for their promotion on the profiling of single-cell transcriptomes at single-cell resolution. Excess zeros due to various technical noises, called dropouts, will mislead downstream analyses. In this talk, I will introduce a new dropout imputation method for scRNA-seq data based on multi-objective optimization. Comprehensive experiments will be presented to show the superiority of our method in terms of recovery of true gene expression profiles, differential expression analysis, cell clustering and cell trajectory inference.

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。主要研究生物医学数据挖掘的数学建模与机器学习方法。现主持国家自然科学基金面上项目1项、湖北省自然科学基金面上项目1项， 华中师范大学中央高校基本科研业务费-探索创新项目1项。曾主持国家自然科学基金青年项目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。已在Bioinformatics、 IEEE transactions on Cybernetics、 IEEE Transactions on Image Processing、BMC Bioinformatics、BMC Genomics、IEEE/ACM Transactions on Computational Biology and Bioinformatics等重要学术期刊发表学术论文40余篇，累计影响因子200左右。论文被累计引用700余次（谷歌学术）。