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Previous studies have suggested that some graph properties of protein interaction networks might be related with gene morbidity. In particular, it has been suggested that when a polymorphism affects a gene, it is more likely to produce a disease if the node degree in the interaction network is higher than for other genes. However, these results do not take into account the possible bias introduced...
It is generally believed that semantic similarity between GO terms is critical in resolving semantic heterogeneousness when integrating heterogeneous biological databases. In this paper, we propose an approach to determine the semantic similarity of two GO terms based on both the locations of these terms in the GO graph and their semantic relations with their ancestor terms. First, we collect all...
Research of gene regulatory network is critically important for diagnosis and therapy of tumor. We propose a method on construction of gene regulatory network and selection of feature genes on cancer. Firstly we selected 277 genes whose expressions differ greatly between tumor tissues and normal tissues ,then collected multiple group feature genes using Peano Count Tree; Secondly we picked the gene...
We investigate the possibility that microRNA could act as an oncogene or tumor suppressor gene. Experimentally verified microRNA targeted genes information are integrated with microRNA and mRNA expression data to study this hypothesis, in which the Pearson correlation coefficient is used to quantify these relations. Cancer related microRNA and genes information are retrieved by literature search....
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