Abstract
In analysis of large biological networks traditional clustering algorithms exhibit certain limitations. Specifically, these are either slow in execution or unable to cluster. As a result, faster methodologies are always in demand. In this context, some more efficient approaches have been introduced most of which are based on greedy techniques. Clusters produced as a result of implementation of any such approach are highly dependent on the underlying heuristics. It is expected that better heuristics will yield improved results. As far we are concerned, SPICi can handle large protein-protein interaction (PPI) networks well. In this paper, we have proposed two new heuristics and incorporate those in SPICi. The experimental results exhibit improvements on the performance of the new heuristics.
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Shafin, M.K. et al. (2015). New Heuristics for Clustering Large Biological Networks. In: Harrison, R., Li, Y., Măndoiu, I. (eds) Bioinformatics Research and Applications. ISBRA 2015. Lecture Notes in Computer Science(), vol 9096. Springer, Cham. https://doi.org/10.1007/978-3-319-19048-8_26
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DOI: https://doi.org/10.1007/978-3-319-19048-8_26
Publisher Name: Springer, Cham
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