Scalable approach for effective control of gene regulatory networks

Date

2010-01-01

Author

Tan, Mehmet
Alhajj, Reda
Polat, Faruk

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Objective: Interactions between genes are realized as gene regulatory networks (GRNs). The control of such networks is essential for investigating issues like different diseases. Control is the process of studying the states and behavior of a given system under different conditions. The system considered in this study is a gene regulatory network (GRN), and one of the most important aspects in the control of GRNs is scalability. Consequently, the objective of this study is to develop a scalable technique that facilitates the control of GRNs.

Subject Keywords

Medicine (miscellaneous), Artificial Intelligence

URI

https://hdl.handle.net/11511/38800

Collections

Department of Computer Engineering, Article