<p>For either (a) protein complexes or (b) filtered biological processes, the fraction of modules containing at least one essential protein among “hub modules” tends to decrease in each network as more modules are considered hubs. For the data shown, modules are added in groups of 20 in a non-increasing order of cross-talk degree in the <i>Direct</i> (blue), <i>Pull-down</i> (cyan) and <i>Full</i> (purple) networks. Correlations computed using the SRCC are shown for each network between the binary essentiality of a module and its inferred cross-talk degree. The binary essentiality for a module is 1 if the module has at least one essential protein, and 0 otherwise.</p
Numerous studies have suggested that hub proteins in the S. cerevisiae physical interaction network ...
Degree correlation is an important topological property common to many real-world networks such as t...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...
<p>In each case, modules with essential proteins have significantly higher cross-talk degree than mo...
<p>A module-level network was built for protein complexes using each of the three networks. <b>Num C...
<p>A module-level network was built for filtered biological processes using each of the three networ...
<p>The fraction of essential proteins among hub proteins as a function of an increasing number of pr...
Most complex networks from different areas such as biology, sociology or technology, show a correlat...
Background It is generally acknowledged that a functional understanding of a biological system ca...
Abstract Background The existence of negative correlations between degrees of interacting proteins i...
<p>(<b>a</b>) The intracomplex degree or (<b>b</b>) the normalized intracomplex degree of essential ...
<p><b>Copyright information:</b></p><p>Taken from "Influence of degree correlations on network struc...
The \emph{centrality-lethality rule}, which notes that high-degree nodes in a protein interaction ne...
Numerous studies have suggested that hub proteins in the S. cerevisiae physical interaction network ...
Abstract Background In many protein-protein interaction (PPI) networks, densely connected hub protei...
Numerous studies have suggested that hub proteins in the S. cerevisiae physical interaction network ...
Degree correlation is an important topological property common to many real-world networks such as t...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...
<p>In each case, modules with essential proteins have significantly higher cross-talk degree than mo...
<p>A module-level network was built for protein complexes using each of the three networks. <b>Num C...
<p>A module-level network was built for filtered biological processes using each of the three networ...
<p>The fraction of essential proteins among hub proteins as a function of an increasing number of pr...
Most complex networks from different areas such as biology, sociology or technology, show a correlat...
Background It is generally acknowledged that a functional understanding of a biological system ca...
Abstract Background The existence of negative correlations between degrees of interacting proteins i...
<p>(<b>a</b>) The intracomplex degree or (<b>b</b>) the normalized intracomplex degree of essential ...
<p><b>Copyright information:</b></p><p>Taken from "Influence of degree correlations on network struc...
The \emph{centrality-lethality rule}, which notes that high-degree nodes in a protein interaction ne...
Numerous studies have suggested that hub proteins in the S. cerevisiae physical interaction network ...
Abstract Background In many protein-protein interaction (PPI) networks, densely connected hub protei...
Numerous studies have suggested that hub proteins in the S. cerevisiae physical interaction network ...
Degree correlation is an important topological property common to many real-world networks such as t...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...