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In this paper, we propose a novel method to measure the semantic similarity between genes. The key principle of our method relies on both path length between genes' annotation terms in the Gene Ontology and depth of their annotation terms' common ancestor node in the Gene Ontology. Our method applies an exponential transfer function which includes path length and depth as its two parameters to get...
Many of the previous studies show convincing arguments that mining frequent subgraphs is especially useful. Many hidden frequent patterns which are very interesting can not be found by mining single graph. Previous studies as Quasi-Clique have little success with the hub problem. In this paper, we introduce a new conception Correlated-Quasi-Clique and develop a novel algorithm, CoClique, to address...
Microarray technology has created a revolution in the field of biological research. Association rules can not only group the similarly expressed genes but also discern relationships among genes. However, the efficiency of traditional method to generate association rules is not very well. We develop a novel algorithm, SAW, to generate strong association rules by combining the paired rules, which can...
Taking electrical signals in the Catharanthus roseus as the time series and using the Gaussian radial base function (RBF) and a delayed input window chosen at 50, an intelligent RBF forecast system is set up to forecast signals by the wavelet soft-threshold de-noised backward. It is obvious that the electrical signal in Catharanthus roseus is a sort of weak, unstable and low frequency signals. There...
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