DocumentCode
3317477
Title
Notice of Retraction
A Growing Model for Biological Networks on Recombination and Divergence Principle
Author
Xueying Xie ; Xin Li
Author_Institution
Res. Center of Learning Sci., Southeast Univ., Nanjing, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
How to model the evolution of graphs is important for understanding the complex biological networks. A novel growing network model is presented under the principle of recombination, duplication and divergence. Simulated networks show not only small-world and scale-free features, but also have adjustable disassortative mixing and rich-club phenomenon. The later two topological features, which are widely observed in protein domain combination networks, can not be explained by other classical network models.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
How to model the evolution of graphs is important for understanding the complex biological networks. A novel growing network model is presented under the principle of recombination, duplication and divergence. Simulated networks show not only small-world and scale-free features, but also have adjustable disassortative mixing and rich-club phenomenon. The later two topological features, which are widely observed in protein domain combination networks, can not be explained by other classical network models.
Keywords
biology computing; complex networks; molecular biophysics; proteins; biological networks; disassortative mixing; divergence; duplication; protein domain combination networks; recombination; rich-club phenomenon; topological features; Barium; Biological system modeling; Evolution (biology); Genomics; Numerical models; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5779999
Filename
5779999
Link To Document