主 讲 人：胡耀华

主办单位：数学与大数据学院

讲座时间：2019年11月8日  17：00-18：00

讲座地点：知津楼C303

内容简介：

Inferring gene regulatory networks from gene expression data is an arduous challenge in biology especially in higher organisms, which is found to have a special structure of transcriptional factory in [Science 2010] and [Nature 2010]. In this talk, we will consider a mix sparse optimization model with this special structure, that is, sparsity structures at intra-group and inter-group levels are considered simultaneously. We will propose a nonconvex regularization method, as well as a first-order iterative algorithm, and present its consistence theory and convergence theory. The applications of mix sparse optimization will facilitate biologists to study the transcriptional factory structure of gene regulation networks for higher model organisms in a genome-wide scale.

主讲人简介：

胡耀华，江西吉安人，先后于浙江大学获得学士、硕士学位，香港理工大学获得博士学位，现任深圳大学数学与统计学院副教授。主要从事连续优化理论、算法和应用研究，主持国家自然科学基金2项，省市级科研项目5项。在SIAM Journal on Optimization，Journal of Machine Learning Research等国际期刊上发表二十篇余学术论文，参与开发多个生物信息学工具包/网页服务器。2015年深圳市海外高层次人才“孔雀计划”C类人才，2016年广东省计算数学优秀青年论文特等奖，2017年深圳市南山区“领航人才”。