Abstract
Investigating gene regulatory networks is important to understand mechanism of cellular functions. Recently, construction of gene networks having desired functions is of interest to many researchers because it is a complementary approach to understanding gene regulatory networks, and it could be the first step to control living cells. A synthesis method of gene networks based on given gene expression pattern sequences by network learning was already proposed. The objective of the paper is to apply the synthesis method to a controller design problem and to evaluate performance of the method. Some numerical experiments are given to evaluate the performance of the proposed method.
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Mori, Y., Kuroe, Y., Mori, T. (2008). Controller Design Method of Gene Networks by Network Learning and Its Performance Evaluation. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_84
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DOI: https://doi.org/10.1007/978-3-540-69162-4_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
Online ISBN: 978-3-540-69162-4
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