Superclusteroid 2.0: A web tool for processing big biological networks
IFIP Advances in Information and Communication Technology, ISSN: 1868-4238, Vol: 475, Page: 626-633
2016
- 6Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures6
- Readers6
Conference Paper Description
Biological networks have been the most prevalent model to analyze the complexity of cellular mechanisms. The expansion of the existing knowledge on known intracellular players such as genes, RNA molecules and proteins as long as the continued study on their interactions has increased lately the ability to construct big biological networks of increased complexity. Many web tools have been introduced in the last decade but they are incomplete, as they do not provide all required features for a full research study neither they can handle the big and complex nature of these networks and the increased needs of researchers for fast and uninterrupted analysis. In the present paper, the new version of the Superclusteroid tool is presented which includes among others new visualization features, network comparison tools and new clustering algorithms. Moreover, a new strategy is proposed to deal with the necessity of handling effectively the increased work load of the tool as long as to improve the speed in the two most time consuming steps: network visualization and network clustering.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84988473757&origin=inward; http://dx.doi.org/10.1007/978-3-319-44944-9_55; http://link.springer.com/10.1007/978-3-319-44944-9_55; http://link.springer.com/content/pdf/10.1007/978-3-319-44944-9_55; https://dx.doi.org/10.1007/978-3-319-44944-9_55; https://link.springer.com/chapter/10.1007/978-3-319-44944-9_55
Springer Science and Business Media LLC
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