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GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions.

, , , , , and . IEEE Access, (2020)

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GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions., , , , , and . IEEE Access, (2020)DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence., , , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 371-383. Springer, (2020)RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information., , , , , and . BMC Bioinform., 21 (1): 60 (2020)LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization., , , , and . Neurocomputing, (2021)Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations., , , , , and . ICIC (3), volume 12838 of Lecture Notes in Computer Science, page 467-477. Springer, (2021)A learning-based method to predict LncRNA-disease associations by combining CNN and ELM., , , , , and . BMC Bioinform., 22-S (5): 622 (2021)Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (5): 2610-2618 (September 2023)WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations., , , , and . ICIC (3), volume 12465 of Lecture Notes in Computer Science, page 542-551. Springer, (2020)