Nontrivial Characteristics Embedded in Microarray Coexpression Profiles

4th International Workshop on Statistical Physics and Mathematics for Complex Systems

物理学;数学

Yin, Chuanyang^1 ; Yang, Huijie^2 ; Zhu, Guimei^3 ; Wang, Bing-Hong^4

College of Information and Control, Nanjing University of Information Science and Technology, Nanjing

210044, China^1

School of Management, University of Shanghai for Science and Technology, Shanghai

200093, China^2

Department of Physics and Centre for Computational Science and Engineering, National University of Singapore, Singapore

117542, Singapore^3

Department of Modern Physics and Centre for Nonlinear Science, University of Science and Technology of China, Hefei

230026, China^4

关键词: Biological robustness;    Co-expression;    Constructed networks;    Correlation matrix;    Degree distributions;    Edge properties;    Filtering criteria;    Functional network;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/604/1/012022/pdf
DOI  :  10.1088/1742-6596/604/1/012022

来源: IOP

【 摘 要 】

We propose the biological robustness as a key criterion in inferring functional networks from microarray coexpression profiles. The networks are constructed by filtering out the small values in the coexpression correlation matrices. The robustness refers to there exists a wide region of the filtering criterion value, in which the constructed networks have almost the same properties, such as the degree distribution, the motif pattern, the edge property and so on. This kind of networks are considered biologically meaningful.