SubNet: a Java application for subnetwork extraction.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 23946504.
- Also identified by DOI 10.1093/bioinformatics/btt430 and PMC identifier 3777115.
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Abstract
The extraction of targeted subnetworks is a powerful way to identify functional modules and pathways within complex networks. Here, we present SubNet, a Java-based stand-alone program for extracting subnetworks, given a basal network and a set of selected nodes. Designed with a graphical user-friendly interface, SubNet combines four different extraction methods, which offer the possibility to interrogate a biological network according to the question investigated. Of note, we developed a method based on the highly successful Google PageRank algorithm to extract the subnetwork using the node centrality metric, to which possible node weights of the selected genes can be incorporated. http://www.zdzlab.org/1/subnet.html
Medical subject headings
- Software Design