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Committee Date Time Place Paper Title / Authors Abstract Paper #
COMP 2007-05-25
13:20		 Fukuoka Kyushu University An O(1.787^n)-time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes
Takeyuki Tamura, Tatsuya Akutsu (Kyoto Univ.) COMP2007-13		 The Boolean network (BN) is a mathematical model of genetic networks. It is known that detecting a singleton attractor i... [more] COMP2007-13
pp.13-18
NLP 2007-01-18
17:30		 Kagawa   Statistical Analysis of Boolean Network Based on One-Dimensional Mapping
Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) 		The dynamics of Boolean network, which is a typical model of genetic regulatory networks is studied in detail. We examin... [more] NLP2006-141
pp.85-90
NLP 2006-06-23
15:20		 Tokyo Chuo Univ. Modeling and Analysis of Genetic Regulatory Networks with Coupled Maps
Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) 		A novel model using coupled maps for genetic regulatory networks is proposed.
We study the dynamics of Boolean network,... [more]		 NLP2006-19
pp.47-52
NLP 2005-11-19
09:50		 Fukuoka Kyushu Institute of Technology Transmission characteristics of 3-node Boolean subnetworks with random binary sequence inputs
Chikoo Oosawa, Kazuhiro Takemoto (Kyushu Inst. of Tech.) 		Random Boolean networks(RBNs) has been used as a model for complex system such as gene regulatory networks, neural netwo... [more] NLP2005-73
pp.13-18
NLP 2005-11-19
10:15		 Fukuoka Kyushu Institute of Technology Dependence of scale-free random Boolean networks' dynamics on combinations of Boolean functions at highly connected and its upstream nodes
Chikoo Oosawa, Kazuhiro Takemoto (Kyushu Inst. of Tech.) 		We have performed numerical and analytical study on scale-free random Boolean networks(SFRBN) to understand the role and... [more] NLP2005-74
pp.19-24
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