讲座题目：Group sparse optimization in systems biology

主讲人：胡耀华副教授

讲座时间：2019年4月17日（周三）14:00-15:00

讲座地点：bat365中文官方网站大楼318室

邀请部门：数据科学与商务智能研究所

讲座概要：Inferring gene regulatory networks from gene expression data and identifying key factors for cell fate conversion are two arduous challenges in biology and regenerative medicine, especially in higher organisms (like human and mouse) where the number of genes is large but the number of experimental samples is small. In this talk, we will formulate these two systems biology problems into group sparse optimization problem by employing the special structure of the involved regulatory networks. The lower-order regularization method for group sparse optimization will be introduced in a unified framework. Theoretical guarantee of the lower-order regularization method is provided via the oracle property and recovery bound, and the numerical performance of the proximal gradient algorithm is presented via the linear convergence property. The applications of group sparse optimization will facilitate biologists to study the gene regulation of higher model organisms in a genome-wide scale.

报告人简介：胡耀华博士，现为深圳大学数学与统计学院副教授（香港理工大学博士，师从杨晓琪教授），主要从事最优化理论、算法和应用研究，特别专注于稀疏优化及其应用，主持国家自然科学基金2项，省市级科研项目4项。2015年获“深圳市海外高层次人才”荣誉称号，2016年获“广东省计算数学优秀青年论文特等奖”，2017年荣获深圳市南山区“领航人才”称号。在Journal of Machine Learning Research ，SIAM Journal on Optimization，Inverse Problems， European Journal of Operational Research，BMC Genomics等国际期刊上发表20篇余学术论文，参与开发多个生物信息学工具包/网页服务器。