Genomic Signal Processing Laboratory
Genomic Signal Processing (GSP) is the engineering discipline that studies the processing of genomic signals. It encompasses various methodologies concerning expression profiles: detection, prediction, classification, control, and statistical and dynamical modeling of gene networks.
 | Norbert Wiener (Cybernetics, 1948): “As far back as four years ago, the group of scientists about Dr. Rosenblueth and myself had already become aware of the essential unity of the set of problems centering about communication, control, and statistical mechanics, whether in the machine or in living tissue.” |
Latest News
- Submission Deadline Extended to April 1: GSP Special Issue - EURASIP Journal of Advances in Signal Processing
- Dr. Ulisses Braga-Neto wins prestigious NSF CAREER Award
- March 02, 2009; Dr. Ulisses Braga-Neto, a faculty member of GSP Lab in the Department of Electrical and Computer Engineering at Texas A&M University, has received the prestigious Faculty Early Career Development (CAREER) Award sponsored by the National Science Foundation’s (NSF).
- Bioinformatics Seminar
- Feb 03, 2009
- The New Website Released!
- Jan 21, 2009
