COSSY is an algorithm to discover important subnetworks differentiating between two phenotypes (context). It automatically finds differentially expressed subnetworks of closely interacting molecules from molecular interaction networks (such as KEGG or STRING) using gene expression profiles. This is the first non-greedy approach of its kind. COSSY works for any interaction network regardless of the network topology. It can also be used as a highly accurate classification platform.
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Saha A, Tan AC, Kang J.
Automatic context-specific subnetwork discovery from large interaction networks.
PLoS One. 2014 Jan 1;9(1):e84227. doi: 10.1371/journal.pone.0084227. PMID: 24392115; PMCID: PMC3877685.