In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particular, we discuss recent work on identifying and modelling the structure of bio-molecular networks, as well as the application of centrality measures to interaction networks and research on the hierarchical structure of such networks and network motifs. Work on the link between structural network properties and dynamics is also described, with emphasis on synchronization and disease propagation
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
In this paper we discuss the background and challenges inherent in analysing biological systems from...
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particu...
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particu...
Molecular interactions are often represented as network models which have become the common language...
Molecular interactions are often represented as network models which have become the common language...
Molecular interactions are often represented as network models which have become the common language...
Mathematical problems such as graph theory problems are of increasing importance for the analysis of...
The methodologies advocated in computational biology are in many cases proper system-level approache...
Filling a gap in literature, this self-contained book presents theoretical and application-oriented ...
Understanding complex systems often requires a bottom-up analysis towards a systems biology approach...
This work focuses on the use of network graph theory in biological networks. I explore how network g...
peer reviewedLast decades brought us a new scientific area of computational biology, placed at the j...
This work focuses on the use of network graph theory in biological networks. I explore how network g...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
In this paper we discuss the background and challenges inherent in analysing biological systems from...
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particu...
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particu...
Molecular interactions are often represented as network models which have become the common language...
Molecular interactions are often represented as network models which have become the common language...
Molecular interactions are often represented as network models which have become the common language...
Mathematical problems such as graph theory problems are of increasing importance for the analysis of...
The methodologies advocated in computational biology are in many cases proper system-level approache...
Filling a gap in literature, this self-contained book presents theoretical and application-oriented ...
Understanding complex systems often requires a bottom-up analysis towards a systems biology approach...
This work focuses on the use of network graph theory in biological networks. I explore how network g...
peer reviewedLast decades brought us a new scientific area of computational biology, placed at the j...
This work focuses on the use of network graph theory in biological networks. I explore how network g...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
In this paper we discuss the background and challenges inherent in analysing biological systems from...