CONSTRAINTS
2008
13 years 9 months ago
2008
We describe an approach to modeling biological networks by action languages via answer set programming. To this end, we propose an action language for modeling biological networks...
BMCBI
2007
13 years 9 months ago
2007
Background: A number of studies on biological networks have been carried out to unravel the topological characteristics that can explain the functional importance of network nodes...
BMCBI
2010
13 years 9 months ago
2010
Background: Phylogenies capture the evolutionary ancestry linking extant species. Correlations and similarities among a set of species are mediated by and need to be understood in...
BMCBI
2008
13 years 9 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
BMCBI
2010
13 years 9 months ago
2010
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
BMCBI
2010
13 years 9 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
BMCBI
2010
13 years 9 months ago
2010
Background: Biochemical networks play an essential role in systems biology. Rapidly growing network data and e research activities call for convenient visualization tools to aid i...
BMCBI
2010
13 years 9 months ago
2010
Background: The increasing availability and diversity of omics data in the post-genomic era offers new perspectives in most areas of biomedical research. Graph-based biological ne...
BIOINFORMATICS
2007
13 years 9 months ago
2007
Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We propose and analyze two strategies to learn over unordered pairs with kernels, and provide a common theoretical framework to compare them. The strategies are related to methods...