Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration
Abstract Background Prediction of drug-disease interactions is promising for either drug repositioning or disease treatment fields. The discovery of novel drug-disease interactions, on one hand can help to find novel indictions for the approved drugs; on the other hand can provide new therapeutic ap...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
BMC,
2017-12-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |