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| Author(s): |
Vitor Hugo Louzada Patricio
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI) |
| Defense date: | 2011-04-20 |
| Examining board members: |
Ronaldo Fumio Hashimoto;
Tie Koide;
Ney Lemke
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| Advisor: | Ronaldo Fumio Hashimoto |
| Abstract | |
In biological systems, the study of gene regulatory networks stability is seen as an important contribution that Mathematics can make to cancer research and that of other genetic diseases. In this work, we consider the concept of ``canalization\'\' as a consequence of stability in gene regulatory networks. The characteristics of canalized regulatory networks are superficially understood. Hence, we study the canalization concept under a computational framework: a simplified model is proposed to describe the phenomenon using Boolean Networks - a classical paradigm to modeling regulatory networks. Specifically, the stability of the largest basin of attraction in gene regulatory networks is analyzed. Our results indicate that the stability of the largest basin of attraction is related to biological data on growth of yeast colonies, and that thoughts about the interaction between Boolean functions and network topologies must be given in the analysis of stable networks. (AU) | |
| FAPESP's process: | 09/03124-7 - Identifying canalizing genes using Context-Sensitive probabilistic boolean networks |
| Grantee: | Vitor Hugo Louzada Patricio |
| Support Opportunities: | Scholarships in Brazil - Master |