On pinning reachability of probabilistic Boolean control networks  

作　　者：Yang LIU Jinde CAO Liqing WANG Zheng-Guang WU 

机构地区：[1]College of Mathematics and Computer Science,Zhejiang Normal University,Jinhua 321004,China [2]Jiangsu Provincial Key Laboratory of Networked Collective Intelligence,Southeast University,Nanjing 210096,China [3]School of Mathematics,Southeast University,Nanjing 210096,China [4]National Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou 310027,China

出　　处：《Science China(Information Sciences)》2020年第6期228-230,共3页中国科学（信息科学）（英文版）

基　　金：supported by Zhejiang Provincial Natural Science Foundation(Grant No.LD19A010001);National Natural Science Foundation of China(Grant Nos.11671361,61573096,61833005);China Postdoctoral Science Foundation(Grant Nos.2016T90406,2015M580378);in part supported by Jiangsu Provincial Key Laboratory of Networked Collective Intelligence(Grant No.BM2017002)。

摘　　要：Dear editor,Boolean networks(BNs)were introduced by Kauffman[1]to model complex and nonlinear biological systems.They have become a powerful tool for describing,analyzing,and simulating gene regulatory networks[2].Probabilistic Boolean networks(PBNs)were proposed by Shmulevich et al.[3]as an extension of BNs.A PBN is a family of BNs,where at each discrete time point.

关 键 词：PBN probabilistic Boolean NETWORKS 

分 类 号：O157.5[理学—数学] O231[理学—基础数学]