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Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization.

, , , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 108-117. (2017)

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Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization., , , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 108-117. (2017)SRP: A concise non-parametric similarity-rank-based model for predicting drug-target interactions., and . BIBM, page 1636-1641. IEEE Computer Society, (2015)STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions., , and . Briefings Bioinform., (2022)Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix., and . PRIB, volume 5780 of Lecture Notes in Computer Science, page 344-353. Springer, (2009)Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine., , , and . PRIB, volume 4146 of Lecture Notes in Computer Science, page 105-114. Springer, (2006)Using Decision Templates to Predict Subcellular Localization of Protein., , , and . PRIB, volume 4774 of Lecture Notes in Computer Science, page 71-83. Springer, (2007)AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection., , , , and . BIBM, page 2157-2161. IEEE, (2022)Bamboo Agents: Exploring the Potentiality of Digital Craft by Decoding and Recoding Process., , , , , and . TEI, page 15:1-15:13. ACM, (2023)Predicting Drug-Target Interactions Between New Drugs and New Targets via Pairwise K-nearest Neighbor and Automatic Similarity Selection., , , and . IScIDE (2), volume 9243 of Lecture Notes in Computer Science, page 477-486. Springer, (2015)Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering1., , , , and . BIBM, page 45-50. IEEE Computer Society, (2014)