Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation is laborious and costly. To improve the drug di...
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Veröffentlicht in: | PLoS computational biology 2016-02, Vol.12 (2), p.e1004760-e1004760 |
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