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Feature reduction for gene regulatory network control
Date
2007-10-17
Author
Tan, Mehmet
Polat, Faruk
Alhajj, Reda
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Scalability is one of the most important issues in control problems, including the control of gene regulatory networks. In this paper we argue that it is possible to improve scalability of gene regulatory networks control by reducing the number of genes to be considered by the control policy; and consequently propose a novel method to estimate genes that are less important for control. The reported test results on real and synthetic data demonstrate the applicability and effectiveness of the proposed approach.
Subject Keywords
Gene regulatory networks
,
Feature reduction
,
Control
URI
https://hdl.handle.net/11511/41591
DOI
https://doi.org/10.1109/bibe.2007.4375727
Collections
Department of Computer Engineering, Conference / Seminar
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BibTeX
M. Tan, F. Polat, and R. Alhajj, “Feature reduction for gene regulatory network control,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41591.