Home > Seminars > Structure Identification for Gene Regulatory Networks

Structure Identification for Gene Regulatory Networks

Start:

6/29/2015 at 11:00AM

End:

6/29/2015 at 12:00PM

Location:

258 Fitzpatrick Hall

Host:

College of Engineering close button
headerbottom

Hai Lin

Hai Lin

VIEW FULL PROFILE Email: hlin1@nd.edu
Phone: 574-631-3177
Website: http://nd.edu/~hlin1/
Office: 265 Fitzpatrick Hall
Curriculum Vitae

Affiliations

College of Engineering Associate Professor
Wireless Institute Associate Professor
Dr. Lin's teaching and research interests are in the multidisciplinary study of the problems at the intersections of control, communication, computation and life sciences. His current research thrust is on cyber-physical systems, multi-robot cooperative tasking, advanced manufacturing systems, ...
Click for more information about Hai
574-631-3177
Add to calendar:
iCal vCal

Cellular networks usually consist of numerous chemical species, such as DNA, RNA, proteins and small molecules, etc. Different biological tasks are generally performed by complex interactions among these species. These interactions can rarely be directly measured, and it is widely believed that causal relationship identification is essential in understanding biological behaviors of a cellular network. Challenging issues here include not only the large number of interactions to be estimated, but also many restrictions on probing signals.

In this talk, we will discuss how to incorporate power law and robust state estimations into cellular network structure identification, with the purpose to increase accuracy of causal regulation estimations. The developed methods have been tested on an artificially constructed linear system, a mitogen-activated protein kinase pathway model, some DREAM initiative in silico data and some in vivo data. Compared with the widely adopted methods, computation results show that parametric estimation accuracy can be significantly increased and false positive errors can be greatly reduced.

Seminar Speaker:

Tong Zhou

Tong Zhou

Tsinghua University

Tong Zhou was born in Hunan Province, China, in 1964. He received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, Chengdu, China, in 1984 and 1989, respectively, another M.S.degree from Kanazawa University, Ishikawa Prefecture, Japan, in 1991, and the Ph.D. degree from Osaka University, Osaka, Japan, in 1994. After visiting several universities in The Netherlands, China, and Japan, he joined Tsinghua University, Beijing, China, in 1999, where he is currently a Professor of control theory and control engineering. His current research interests include robust estimation and control, system identification, signal processing, hybrid systems, and their applications to real-world problems in molecular cell biology, spatio-temporal systems, magnetic levitation systems, and communication systems. Dr.Zhou was a recipient of the First-Class Natural Science Prize in 2003 from the Ministry of Education, China, and a recipient of the National Outstanding Youth Foundation of China in 2006. He has served as an Associate Editor of the IEEE TRANSACTIONS ON AUTOMATIC CONTROL, and is now on the editorial board of AUTOMATICA.