The (asymptotic) degree distributions of the best-known "scale-free'' network models are all similar and are independent of the seed graph used; hence, it has been tempting to assume that networks generated by these models are generally similar. In this paper, we observe that several key topological features of such networks depend heavily on the specific model and the seed graph used. Furthermore, we show that starting with the "right" seed graph (typically a dense subgraph of the protein-protein interaction network analyzed), the duplication model captures many topological features of publicly available protein-protein interaction networks very well
Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental is...
Proteins, the main motors of the cell, are in charge of performing a diverse array of biological fun...
Motivation: Networks have been used to model many real-world phenomena to better understand the phen...
The (asymptotic) degree distributions of the best-known "scale-free'' network models are all similar...
The (asymptotic) degree distributions of the best-known ‘‘scale-free’ ’ network models are all simil...
The (asymptotic) degree distributions of the best-known ‘‘scale-free’ ’ network models are all simil...
The (asymptotic) degree distribution of the best known scale free network models are all similar and...
We report a comprehensive evaluation of the topological structure of protein-protein interaction (PP...
A major issue in biology is the understanding of the interactions between proteins. These interactio...
It has recently been demonstrated that many biological networks exhibit a “scale-free” topology, for...
Genomes maybe organized as networks where protein-protein association plays the role of network link...
Motivation: A wealth of protein-protein interaction (PPI) data has recently become available. These ...
MOTIVATION: A wealth of protein-protein interaction (PPI) data has recently become available. These ...
[[abstract]]We employ the random graph theory approach to analyze the protein?protein interaction da...
AbstractIt has been claimed that protein–protein interaction (PPI) networks are scale-free, and that...
Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental is...
Proteins, the main motors of the cell, are in charge of performing a diverse array of biological fun...
Motivation: Networks have been used to model many real-world phenomena to better understand the phen...
The (asymptotic) degree distributions of the best-known "scale-free'' network models are all similar...
The (asymptotic) degree distributions of the best-known ‘‘scale-free’ ’ network models are all simil...
The (asymptotic) degree distributions of the best-known ‘‘scale-free’ ’ network models are all simil...
The (asymptotic) degree distribution of the best known scale free network models are all similar and...
We report a comprehensive evaluation of the topological structure of protein-protein interaction (PP...
A major issue in biology is the understanding of the interactions between proteins. These interactio...
It has recently been demonstrated that many biological networks exhibit a “scale-free” topology, for...
Genomes maybe organized as networks where protein-protein association plays the role of network link...
Motivation: A wealth of protein-protein interaction (PPI) data has recently become available. These ...
MOTIVATION: A wealth of protein-protein interaction (PPI) data has recently become available. These ...
[[abstract]]We employ the random graph theory approach to analyze the protein?protein interaction da...
AbstractIt has been claimed that protein–protein interaction (PPI) networks are scale-free, and that...
Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental is...
Proteins, the main motors of the cell, are in charge of performing a diverse array of biological fun...
Motivation: Networks have been used to model many real-world phenomena to better understand the phen...