2016
DOI: 10.1186/s12864-016-2828-6
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InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology

Abstract: BackgroundThe Gene Ontology (GO) has been used in high-throughput omics research as a major bioinformatics resource. The hierarchical structure of GO provides users a convenient platform for biological information abstraction and hypothesis testing. Computational methods have been developed to identify functionally similar genes. However, none of the existing measurements take into account all the rich information in GO. Similarly, using these existing methods, web-based applications have been constructed to c… Show more

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Cited by 27 publications
(18 citation statements)
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“…Measurement of Scalability: This feature is to maintain WSCs with a large number of services and the services are prioritized by the scalability dimension. In this dimension, the GA-based approaches [10], and grade superior than IPbased services even if suboptimal results are accomplished. Complete GA-based functions advance the scalability by analysing with different params [11] such as the evolution policy, inhabitants and so on.…”
Section: Literature Critiquementioning
confidence: 99%
“…Measurement of Scalability: This feature is to maintain WSCs with a large number of services and the services are prioritized by the scalability dimension. In this dimension, the GA-based approaches [10], and grade superior than IPbased services even if suboptimal results are accomplished. Complete GA-based functions advance the scalability by analysing with different params [11] such as the evolution policy, inhabitants and so on.…”
Section: Literature Critiquementioning
confidence: 99%
“…After the publication of this supplement [1] the URL http://mlg.hit.edu.cn:8089/ceased to work and the new URL of https://mlg.hit.edu.cn/InteGO2 was created to replace it.…”
Section: Erratummentioning
confidence: 99%
“…Weight of edge is the functional similarity score. Then, disease-related miRNAs were prioritized using the network ranking algorithm named random walk with restart (RWR) [7]. The random walker starts on one or several seed nodes and then randomly transits to neighboring nodes considering the probabilities of the edges between the two nodes.…”
Section: Predicting Potential Association Between Diseases and Mirnasmentioning
confidence: 99%
“…The similarity of pair-wise disease sets (SDS) has drawn more and more attention in identifying functional similarity of the disease-caused molecules [1], predicting potential relationships between diseases and molecules [2][3][4][5][6][7][8], and so on. In previous studies, Wang et al utilized the SDS to construct a human miRNA functional similarity network (MFSN) [1].…”
Section: Introductionmentioning
confidence: 99%
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