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Genomic Signal Processing Laboratory

Dr. Dougherty's Christmas Party, December 2011

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.”


Albert Einstein (1945): “The reciprocal relationship of epistemology and science is of noteworthy kind. They are dependent upon each other. Epistemology without contact with science becomes an empty scheme. Science without epistemology is – insofar as it is thinkable at all – primitive and muddled.”


Conrad Waddington (How Animals Develop, 1935): “To say that an animal is an organism means in fact two things: firstly, that it is a system made up of separate parts, and secondly, that in order to describe fully how any one part works one has to refer either to the whole system or to the other parts.”







 Latest News

  • September 20, 2014 - International Workshop on Computational Network Biology: Modeling, Analysis, and Control

The International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC), aims to provide an international scientific forum for presenting recent advances in computational network biology that involve modeling, analysis, and control of biological networks and systematic analysis of large-scale “OMICS” data. More details are available at the CNB-MAC-2014 website

  • New PhD Positions Beginning in 2014

The Center for Bioinformatics and Genomic Systems Engineering expects to have approximately 8 new RA positions at the Ph.D. level beginning in Fall, 2014. Read more...