Systems biology focuses on the integration of experimental, mathematical and computational techniques to develop systemic views and predictive models of biological systems. In this perspective, the concept of network has been a powerful tool for the representation and the analysis of complex systems: during the last two decades, the so-called network biology approach has been fruitfully applied in many different biological areas, from gene regulation, to protein-protein interactions, to neural signals. Here, making no claim to completeness, we briefly account for the processes of reconstructing several among the most significant types of biological networks in molecular biology and neuroscience, as well as for some of the most promising met...
The rapid development of high-throughput technology has generated a large number of biological netwo...
MOTIVATION: Although many network inference algorithms have been presented in the bioinformatics lit...
Biological systems are complex in that they comprise large number of interacting entities, and their...
Biological entities are involved in intricate and complex interactions, in which uncovering the bio...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
peer reviewedNetwork analysis is an essential component of systems biology approaches toward underst...
The science of complex biological networks is transforming research in areas ranging from evolutiona...
The rise of network data in many different domains has offered researchers new insight into the prob...
The science of complex biological networks is transforming research in areas ranging from evolutiona...
Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-t...
Lives on earth are regulated by a complex system of interactions. Modelling these interactions throu...
Abstract With the wealth of data accumulated from completely sequenced genomes and other high-throug...
As new technologies are providing us with ever-richer, more complex data sets that capture diverse y...
We review a recent trend in computational systems biology which aims at using pattern recognition al...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
The rapid development of high-throughput technology has generated a large number of biological netwo...
MOTIVATION: Although many network inference algorithms have been presented in the bioinformatics lit...
Biological systems are complex in that they comprise large number of interacting entities, and their...
Biological entities are involved in intricate and complex interactions, in which uncovering the bio...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
peer reviewedNetwork analysis is an essential component of systems biology approaches toward underst...
The science of complex biological networks is transforming research in areas ranging from evolutiona...
The rise of network data in many different domains has offered researchers new insight into the prob...
The science of complex biological networks is transforming research in areas ranging from evolutiona...
Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-t...
Lives on earth are regulated by a complex system of interactions. Modelling these interactions throu...
Abstract With the wealth of data accumulated from completely sequenced genomes and other high-throug...
As new technologies are providing us with ever-richer, more complex data sets that capture diverse y...
We review a recent trend in computational systems biology which aims at using pattern recognition al...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
The rapid development of high-throughput technology has generated a large number of biological netwo...
MOTIVATION: Although many network inference algorithms have been presented in the bioinformatics lit...
Biological systems are complex in that they comprise large number of interacting entities, and their...