Constrained expectation-maximization (EM), dynamic analysis, linear quadratic tracking, and nonlinear constrained expectation-maximation (EM) for the analysis of genetic regulatory networks and signal transduction networks

Constrained expectation-maximization (EM), dynamic analysis, linear quadratic tracking, and nonlinear constrained expectation-maximation (EM) for the analysis of genetic regulatory networks and signal transduction networks

Despite the immense progress made by molecular biology in cataloging andcharacterizing molecular elements of life and the success in genome sequencing, therehave not been comparable advances in the functional study of complex phenotypes.This is because isolated study of one molecule, or one gene, at...

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Bibliographic Details
Main Author: Xiong, Hao
Other Authors: Choe, Yoonsuck
Format: Others
Language:en_US
Published: 2010
Subjects:
systems biology
genetic networks
parameter estimation
dynamic analysis
optimal control
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2332
http://hdl.handle.net/1969.1/ETD-TAMU-2332

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-2332
http://hdl.handle.net/1969.1/ETD-TAMU-2332

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