Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Su Cui"'
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Pseudo-random number generators (PRNGs) are deterministic algorithms that generate sequences of numbers approximating the properties of random numbers, which are widely utilized in various fields. In this paper, we present a Genetic Algorith
Externí odkaz:
https://doaj.org/article/15b1361238b04451a21b21d4cca3290a
Autor:
Hongchao Zhang, Guopei Zhang, Mingyang Xiao, Su Cui, Cuihong Jin, Jinghua Yang, Shengwen Wu, Xiaobo Lu
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-24 (2024)
Abstract Background Activator protein-1 (AP-1) represents a transcription factor family that has garnered growing attention for its extensive involvement in tumor biology. However, the roles of the AP-1 family in the evolution of lung cancer remain p
Externí odkaz:
https://doaj.org/article/b229326a244c41b498cf60d8a9882ac9
Publikováno v:
Entropy, Vol 25, Iss 4, p 555 (2023)
In recent years, social network sentiment classification has been extensively researched and applied in various fields, such as opinion monitoring, market analysis, and commodity feedback. The ensemble approach has achieved remarkable results in sent
Externí odkaz:
https://doaj.org/article/518757e235f84f899d38ce6aeba8a804
Autor:
Haoyou Wang, Qiming Shen, Xin Zhang, Chunlu Yang, Su Cui, Yanbin Sun, Liming Wang, Xiaoxi Fan, Shun Xu
Publikováno v:
Cellular Physiology and Biochemistry, Vol 41, Iss 6, Pp 2221-2229 (2017)
Background/Aims: Long non-coding RNAs (lncRNAs) are key players in the development and progression of human cancers. The lncRNA XIST (X-inactive specific transcript) has been shown to be upregulated in human non-small cell lung cancer (NSCLC); howeve
Externí odkaz:
https://doaj.org/article/21056be3f92146edb1d7c98633d957b1
Publikováno v:
In Polymer Testing August 2024 137
We study the target control of asynchronous Boolean networks, to identify efficacious interventions that can drive the dynamics of a given Boolean network from any initial state to the desired target attractor. Based on the application time, the cont
Externí odkaz:
http://arxiv.org/abs/2101.00644
Autor:
Huang, Zhuo-Er, Qiu, Xing, Yan, Jin, Liao, Dan-Dan, Huang, Hui, Fu, Ya-Qian, Liu, Bi-Rong, Zhu, Su-Cui, Yi, Qi-Feng
Publikováno v:
In Nurse Education Today January 2024 132
We study the target control problem of asynchronous Boolean networks, to identify a set of nodes, the perturbation of which can drive the dynamics of the network from any initial state to the desired steady state (or attractor). We are particularly i
Externí odkaz:
http://arxiv.org/abs/2006.02304
Direct cell reprogramming makes it feasible to reprogram abundant somatic cells into desired cells. It has great potential for regenerative medicine and tissue engineering. In this work, we study the control of biological networks, modelled as Boolea
Externí odkaz:
http://arxiv.org/abs/2004.07184
Given a Boolean network BN and a subset A of attractors of BN, we study the problem of identifying a minimal subset C of vertices of BN, such that the dynamics of BN can reach from a state s in any attractor As in A to any attractor At in A by contro
Externí odkaz:
http://arxiv.org/abs/1806.10927