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Generating drug repositioning hypotheses based on integrating multiple aspects of drug similarity and disease similarity
Generating drug repositioning hypotheses based on integrating multiple aspects of drug similarity and disease similarity
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机译:基于整合药物相似性和疾病相似性的多个方面产生药物重新定位假设
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摘要
Various embodiments predict drug-disease associations. In one embodiment, a plurality of disease similarity matrices and a plurality of disease similarity matrices are accessed. Each of the plurality of drug similarity matrices is associated with a different drug information source. Each of the plurality of disease similarity matrices is associated with a different disease information source. A known drug-disease association matrix is also accessed. The known drug-disease association matrix indicates if a given drug identified is known to treat a given disease. At least one drug-disease association prediction is generated based on the plurality of drug similarity matrices, the plurality of disease similarity matrices, and the known drug-disease association matrix. The at least one drug-disease association prediction identifies a previously unknown association between a given drug and a given disease, and a probability that the given disease is treatable by the given drug.
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