Add to ORKGThis paper outlines an approach to the topo-logical analysis of large-scale biological net-works. The approach uses concepts from statistical mechanics and information theory to develop automated analysis methods able to generate empirically testable hypotheses about the entities in the networks based on the topology of their connections.
The rise of network data in many different domains has offered researchers new insight into the prob...
Networks represent now an important part of post‐genomic data. This gives rise to a wide variety o...
To this date many approaches exist that model a genetic regulatory network in order to elucidate the...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
Network theory is today a central topic in computational systems biology as a framework to understan...
Biological networks are currently being studied with approaches derived from the mathematical and ph...
Biological networks are currently being studied with approaches derived from the mathematical and ph...
For almost 10 years, topological analysis of different large-scale biological networks (metabolic re...
This edited volume provides insights into and tools for the modeling, analysis, optimization, and co...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particu...
The acquisition and measurement of biological data have dramatically changed in the recent years. In...
Systems biology focuses on the integration of experimental, mathematical and computational technique...
The central question of systems biology is to understand how individual components of a biological s...
peer reviewedNetwork analysis is an essential component of systems biology approaches toward underst...
The rise of network data in many different domains has offered researchers new insight into the prob...
Networks represent now an important part of post‐genomic data. This gives rise to a wide variety o...
To this date many approaches exist that model a genetic regulatory network in order to elucidate the...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
Network theory is today a central topic in computational systems biology as a framework to understan...
Biological networks are currently being studied with approaches derived from the mathematical and ph...
Biological networks are currently being studied with approaches derived from the mathematical and ph...
For almost 10 years, topological analysis of different large-scale biological networks (metabolic re...
This edited volume provides insights into and tools for the modeling, analysis, optimization, and co...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particu...
The acquisition and measurement of biological data have dramatically changed in the recent years. In...
Systems biology focuses on the integration of experimental, mathematical and computational technique...
The central question of systems biology is to understand how individual components of a biological s...
peer reviewedNetwork analysis is an essential component of systems biology approaches toward underst...
The rise of network data in many different domains has offered researchers new insight into the prob...
Networks represent now an important part of post‐genomic data. This gives rise to a wide variety o...
To this date many approaches exist that model a genetic regulatory network in order to elucidate the...