Fuzzy Logical on Boolean Networks as Model of Gene Regulatory Networks
A novel gene regulatory network model via the fuzzy logic is proposed. Fuzzy logic can effectively model gene regulation and interaction to accurately reflect the underlying biology. By judging genes expression level on the fuzzy rule, Fuzzy Boolean network (FBN) makes it possible to handle simultan...
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Published in | 2009 International Joint Conference on Artificial Intelligence pp. 501 - 505 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2009
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Subjects | |
Online Access | Get full text |
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Summary: | A novel gene regulatory network model via the fuzzy logic is proposed. Fuzzy logic can effectively model gene regulation and interaction to accurately reflect the underlying biology. By judging genes expression level on the fuzzy rule, Fuzzy Boolean network (FBN) makes it possible to handle simultaneously the randomness and fuzziness of biological phenomena. |
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ISBN: | 9780769536156 0769536158 |
DOI: | 10.1109/JCAI.2009.78 |