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ABSTRACT: Background
The sheer amounts of biological data that are generated in recent years have driven the development of network analysis tools to facilitate the interpretation and representation of these data. A fundamental challenge in this domain is the reconstruction of a protein-protein subnetwork that underlies a process of interest from a genome-wide screen of associated genes. Despite intense work in this area, current algorithmic approaches are largely limited to analyzing a single screen and are, thus, unable to account for information on condition-specific genes, or reveal the dynamics (over time or condition) of the process in question.Results
We propose a novel formulation for the problem of network reconstruction from multiple-condition data and devise an efficient i
SUBMITTER: Mazza A
PROVIDER: S-EPMC3933684 | biostudies-literature | 2014 Feb
REPOSITORIES: biostudies-literature