Add to ORKGthis paper. It also shows that a graph variable has an inherent constraints linking its arcs to its node
International audienceSystems biology studies biological networks and the relations between them. Am...
International audienceSystems biology studies biological networks and the relations between them. Am...
Cells adapt their metabolic fluxes in response to changes in the environment. We present a framework...
Biochemical networks { networks composed of the building blocks of the cell and their interactions a...
The analysis of biochemical networks is mainly done using relational or procedural languages. Combin...
The analysis of biochemical networks is mainly done using relational or procedural lan-guages. Combi...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We pr...
The analysis of biochemical networks consists in studying the interactions between biological entiti...
Our knowledge of metabolism can be represented as a network comprising several thousands of nodes (c...
Metabolism is a defining feature of life, and its study is important to understand how a cell works,...
Motivation: Subgraph extraction is a powerful technique to predict pathways from biological networks...
AbstractA metabolic pathway is a set of enzyme catalysed biochemical reactions by which a living org...
Cellular pathways defining biochemical transformational routes are often utilized as engineering tar...
Constraint programming (CP) aims at modeling and solving constraint satisfaction problems. These pro...
We present a method for finding biologically meaning-ful patterns on metabolic pathways using the SU...
International audienceSystems biology studies biological networks and the relations between them. Am...
International audienceSystems biology studies biological networks and the relations between them. Am...
Cells adapt their metabolic fluxes in response to changes in the environment. We present a framework...
Biochemical networks { networks composed of the building blocks of the cell and their interactions a...
The analysis of biochemical networks is mainly done using relational or procedural languages. Combin...
The analysis of biochemical networks is mainly done using relational or procedural lan-guages. Combi...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We pr...
The analysis of biochemical networks consists in studying the interactions between biological entiti...
Our knowledge of metabolism can be represented as a network comprising several thousands of nodes (c...
Metabolism is a defining feature of life, and its study is important to understand how a cell works,...
Motivation: Subgraph extraction is a powerful technique to predict pathways from biological networks...
AbstractA metabolic pathway is a set of enzyme catalysed biochemical reactions by which a living org...
Cellular pathways defining biochemical transformational routes are often utilized as engineering tar...
Constraint programming (CP) aims at modeling and solving constraint satisfaction problems. These pro...
We present a method for finding biologically meaning-ful patterns on metabolic pathways using the SU...
International audienceSystems biology studies biological networks and the relations between them. Am...
International audienceSystems biology studies biological networks and the relations between them. Am...
Cells adapt their metabolic fluxes in response to changes in the environment. We present a framework...