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Fusing literature and full network data improves disease similarity computation

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Identifying relatedness among diseases could help deepen understanding for the underlying pathogenic mechanisms of diseases, and facilitate drug repositioning projects. A number of methods for computing disease similarity had been developed; however, none of them were designed to utilize information of the entire protein interaction network, using instead only those interactions involving disease causing genes.

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Nội dung Text: Fusing literature and full network data improves disease similarity computation

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