Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chuan-Yun Xu"'
Autor:
Huan Wang, Xu-Sheng Zhang, Jing-Bo Hu, De Hai Zhang, Chuan-Yun Xu, Ke-Fei Cao, Qian Yan, Ming Xu
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 444:928-939
Complex network approach has become an effective way to describe interrelationships among large amounts of biological data, which is especially useful in finding core functions and global behavior of biological systems. Hypertension is a complex dise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bee044202759753bf9ba143d638692d
https://doi.org/10.1016/j.physa.2015.10.048
https://doi.org/10.1016/j.physa.2015.10.048
Publikováno v:
International Journal of Modern Physics C. 31:2050071
Community detection has always been one of the most important issues in network science. With the arrival of the era of big data, it is necessary to develop new accurate and fast community detection methods for the study of many real complex networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ffe8b32274778b4ee28287ec160b50d
https://doi.org/10.1142/s0129183120500710
https://doi.org/10.1142/s0129183120500710
Publikováno v:
Physics Letters A. 378:1505-1509
The star products in symbolic dynamics, as effective algebraic operations for describing self-similar bifurcation structure in classical dynamical systems, are found to have either associativity or non-associativity. In this Letter, non-associative s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ade0073cc378a9395b55f7245dff5ac
https://doi.org/10.1016/j.physleta.2014.03.054
https://doi.org/10.1016/j.physleta.2014.03.054
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 394:166-176
In this paper, a network of hypertension-related genes is constructed by analyzing the correlations of gene expression data among the Dahl salt-sensitive rat and two consomic rat strains. The numerical calculations show that this sparse and assortati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9c0e0a31ac11619a28c00b5b39231db
https://doi.org/10.1016/j.physa.2013.09.054
https://doi.org/10.1016/j.physa.2013.09.054
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 533:122069
Complex network is an effective approach for analyzing the complex interactions in diseases. Hypertension is a complex multifactorial disease involving multiple biological pathways and interactions between genetic and environmental factors. By combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b5c328f8fb105550172c7e34923cf7e
https://doi.org/10.1016/j.physa.2019.122069
https://doi.org/10.1016/j.physa.2019.122069
Publikováno v:
Applied Clay Science. :443-452
The understanding of adsorption of proteins and nucleic acids on clay minerals and their interactions is important in biological applications for soil ecosystem, the earth's biochemical evolution and origin of life, delivery of drug, etc. This review
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e157904847504b449ac513ec75d244
https://doi.org/10.1016/j.clay.2013.06.003
https://doi.org/10.1016/j.clay.2013.06.003
Publikováno v:
The European Physical Journal B. 89
It is a significant challenge to predict the network topology from a small amount of dynamical observations. Different from the usual framework of the node-based reconstruction, two optimization approaches (i.e., the global and partitioned reconstruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08596b8a4c67df74a354470bd33b4eb2
https://doi.org/10.1140/epjb/e2016-60956-2
https://doi.org/10.1140/epjb/e2016-60956-2
Publikováno v:
Journal of Computer Applications. 29:3077-3979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ad25e8d555a630a45e19bd543c8a57
https://doi.org/10.3724/sp.j.1087.2009.03077
https://doi.org/10.3724/sp.j.1087.2009.03077
Autor:
De Hai Zhang, Ke Fei Cao, Xu-Sheng Zhang, Ming Xu, Huan Wang, Chuan Yun Xu, Qian Yan, Jing Bo Hu
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 447:569-570
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724ad7da781e533b6d777b4d44e3845a
https://doi.org/10.1016/j.physa.2015.12.010
https://doi.org/10.1016/j.physa.2015.12.010
According to the exact controllability theory, the controllability is investigated analytically for two typical types of self-similar bipartite networks, i.e., the classic deterministic scale-free networks and Cayley trees. Due to their self-similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411dad2b49e5d65ed365d1970eff40d2
