题目1:  Sparse modeling with applications to bioimaging and bioinformatics

主讲人: Prof. Yu-Ping Wang

Department of Biomedical Engineering & Department of Biostatistics and Bioinformatics, Tulane University

题目2: Compressive sensing: theory and application in next generation sequencing data analysis

主讲人: Ph.D Junbo Duan  

Department of Biomedical Engineering & Center for Bioinformatics and Genomics, Tulane University

时间：2012-12-27下午4点

地点：医学院综合楼（图书馆对面）天然药物中心一层会议室

Yu-Ping Wang 教授简介

Education

Washington University School of Medicine, St. Louis, 1999-2000 Post-doctoral study in Medical Imaging 

Xi'an Jiaotong University, School of Electrical and Information Engineering, P. R. China, 1996 Ph.D. in Communications and Electronic Systems 

Xi'an Jiaotong University, Xi'an, Faculty of Science, 1993 P.R. China, M.S. in Computational Mathematics 

Tianjin University, Tianjin, P.R. China, 1990 B.S. in Applied Mathematics 

Research Interests

The Multiscale Bioimaging and Bioinformatics Laboratory at Tulane University has three research themes: 1. Fundamental research on multiscale signal/image representation and analysis; 2. Multiscale bioimaging analysis from organ and tissue levels to molecular and cellular levels; and 3. Bioinformatics in human genomics and cytogenetics. Currently, we are working on information extraction and integration from multiscale and multimodality genomic imaging data. One of our goals is to bring the biomedical technique into commercial use. We are using a multidisciplinary approach and working closely with computational scientists, statisticians, medical geneticists and industrial engineers at Tulane Medical Center and all over the world.

Abstract

As a powerful statistical and computational approach developed recently, sparse data representations including compressive sensing techniques have found successful applications in many disciplines such as signal and image processing, communications, medical imaging and geophysical data analysis.  In this talk, I will present our recent research on the development of sparse models, with a focus on their applications to a variety of bioimaging and bioinformatics problems. We will show a variety of examples on the use of sparse representation models for the analysis of microarray imaging, cancer subtyping, chromosome image classification and integration of SNPs and fMRI imaging data for diseases diagnosis, demonstrating their powerful applications.  

Junbo Duan 博士简介

Research Interests

Theory and methodology in signal processing in bioinformatics, such as inverse problems, source separation, sparse representation, non-parametric modeling and model selection criteria.

Abstract

In the last decade, compressive sensing emerged in various scientific and engineering fields. With fruitful results, it brings profound impact on our research communities. Applications can be found in machine learning, medical image processing, data mining, and many other areas. In the first part of the presentation, a brief introduction of the compressive sensing will be given, followed by the mathematical modeling, the theoretical conditions concerning the recovery of sparse signals, and the algorithms to tackle the variants and extensions based on sparse modeling. The second part of the presentation will focus on the application of compressive sensing to the emerging next generation sequencing (NGS) data analysis; examples on the detection of copy number variations from NGS for disease diagnosis will be given.   

联系人：郑有礼、马乐

电话：82655041

欢迎大家参加！

                                                                                                                     医学院科研办

                                                                                                                         2012-12-26