One of the leading aims of systems biology is the complete delineation of the organization and architecture of signaling networks. Within this aim, characterizing integrated circuits is a particular challenge. Integrated circuits are the sites of information multiplexing, where input from multiple sources are combined into a single output or channel. A number of quantitative methods for analyzing epistasis within integrated pathways have been developed, with limited success. Here I present Expression Component Analysis, a novel approach for determining quantitative epistasis within an integrated signaling circuit, and describe the application of Expression Component Analysis in analyzing an interesting and important integrated signaling circuit in the model eukaryote, S.cerevisiae.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/578637 |
| Date | January 2015 |
| Creators | Kunkel, Joseph |
| Contributors | Capaldi, Andrew, Capaldi, Andrew, Dieckmann, Carol, Nagy, Lisa, Weinert, Ted |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Electronic Dissertation |
| Rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
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