We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Background: The architecture of biological networks has been reported to exhibit high level of modularity, and to some extent, topological modules of networks overlap with known f...
Jing Zhao, Guohui Ding, Lin Tao, Hong Yu, Zhong-Ha...
Background: In recent years, mammalian protein-protein interaction network databases have been developed. The interactions in these databases are either extracted manually from lo...
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
Background: Despite recent algorithmic and conceptual progress, the stoichiometric network analysis of large metabolic models remains a computationally challenging problem. Result...