Title page for ETD etd-05132008-094821

Type of Document Master's Thesis
Author Shelton, Rebecca Kay
URN etd-05132008-094821
Title Parameter Identifiability and Estimation in Gene and Protein Interaction Networks
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Baumann, William T. Committee Chair
Stilwell, Daniel J. Committee Member
Wyatt, Christopher L. Committee Member
  • Biological Modeling
  • Parameter Estimation
  • Identifiability
Date of Defense 2008-04-30
Availability unrestricted
The collection of biological data has been limited by instrumentation, the complexity of the systems themselves, and even the ability of graduate students to stay awake and record the data. However, increasing measurement capabilities and decreasing costs may soon enable the collection of reasonably sampled time course data characterizing biological systems, though in general only a subset of the system’s species would be measured. This increase in data volume requires a corresponding increase in the use and interpretation of such data, specifically in the development of system identification techniques to identify parameter sets in proposed models.

In this paper, we present the results of identifiability analysis on a small test system, including the identifiability of parameters with respect to different measurements (proteins and mRNA), and propose a working definition for “biologically meaningful estimation”. We also analyze the correlations between parameters, and use this analysis to consider effective approaches to determining parameters with biological meaning. In addition, we look at other methods for determining relationships between parameters and their possible significance. Finally, we present potential biologically meaningful parameter groupings from the test system and present the results of our attempt to estimate the value of select groupings.

  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  RShelton_Thesis_Final.pdf 1.40 Mb 00:06:29 00:03:20 00:02:55 00:01:27 00:00:07

Browse All Available ETDs by ( Author | Department )

dla home
etds imagebase journals news ereserve special collections
virgnia tech home contact dla university libraries

If you have questions or technical problems, please Contact DLA.