This special issue aims to publish high-quality articles that describe new software tools and databases, or review state-of-the-art methods, for mining biological networks. Of particular interest are graph-theoretic algorithms applied to the analysis of complex networks such as protein-protein interaction networks, metabolic networks, signalling and gene regulatory networks. Articles describing applications of these algorithms to disease gene detection, pathway prediction, biomarker discovery and drug target identification are also welcome.
Suitable topics include, but are not limited to, the following:
- Graph mining methods and software applied to network biology
- Machine learning algorithms applied to systems biology
- Mining networks through data and tool integration
- Network prediction through literature mining
- Crowdsourcing network inference
- Medical applications of network mining
- Mining biological networks with GPU, cloud and high-performance computing
Important Dates
Submission of manuscripts: 15 January, 2016
Notification to authors: 15 March, 2016
Final versions due: 15 May, 2016
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