2014
DOI: 10.1007/s11033-014-3785-2
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RETRACTED ARTICLE: Distinctive pathways characterize A. actinomycetemcomitans and P. gingivalis

Abstract: The study aimed to compare the molecular mechanism of Porphuromonas gingivalis (P. gingivalis) and Aggregatibacter actinomycetemcomitans (A. actinomycetemcomitans). With microarray dataset (GSE9723) from Gene Expression Omnibus, differentially expressed genes (DEGs) were identified comparing normal cell samples with A. actinomycetemcomitans-infected and P. gingivalis-infected periodontitis cell samples, respectively (|logFC| > 1, p value <0.01), followed by hierarchical cluster analysis using Cluster software.… Show more

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Cited by 9 publications
(4 citation statements)
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“…In a network, the smaller the ASPL, the more efficient the signal transduction through nodes. CC and clustering coefficient can reflect the tightness of the network, and the tighter the network, the higher the efficiency [ 24 , 25 ]. The degree of nodes refers to the number of edges between nodes in the network, usually indicating the importance of each node in the network [ 26 , 27 ].…”
Section: Resultsmentioning
confidence: 99%
“…In a network, the smaller the ASPL, the more efficient the signal transduction through nodes. CC and clustering coefficient can reflect the tightness of the network, and the tighter the network, the higher the efficiency [ 24 , 25 ]. The degree of nodes refers to the number of edges between nodes in the network, usually indicating the importance of each node in the network [ 26 , 27 ].…”
Section: Resultsmentioning
confidence: 99%
“…BC represented the probability that the signal passed through the nodes, and the higher the value of BC, the more important the node. The closeness centrality (CC) and the clustering coefficient could reflect the network tightness, and a tighter network was of higher efficiency [ 45 , 46 ]. The degree of a node referred to the number of edges between nodes in a network.…”
Section: Resultsmentioning
confidence: 99%
“…BC is the shortest path between any two nodes in the computing network [ 43 ]. CC is the average length of the shortest path from each node to other nodes [ 44 , 45 ]. The top 2% of nodes for the three parameters were used for further analysis.…”
Section: Methodsmentioning
confidence: 99%