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KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder.

, , , , and . IEEE J. Biomed. Health Informatics, 28 (5): 3178-3185 (May 2024)

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Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection., , , , and . ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 601-611. Springer, (2015)MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction., , , , and . ISBRA, volume 13760 of Lecture Notes in Computer Science, page 1-8. Springer, (2022)Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification., , , , and . IEEE J. Biomed. Health Informatics, 24 (10): 3002-3011 (2020)KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder., , , , and . IEEE J. Biomed. Health Informatics, 28 (5): 3178-3185 (May 2024)Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations., , , , and . IEEE J. Biomed. Health Informatics, 25 (3): 881-890 (2021)GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network., , , , , and . BIBM, page 233-236. IEEE, (2023)Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes., , , , , and . BIBM, page 1752-1756. IEEE Computer Society, (2017)Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm., , , , and . BIBM, page 1741-1745. IEEE Computer Society, (2017)Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection., , , , and . BIBM, page 578-582. IEEE Computer Society, (2018)Differentially expressed genes selection via Truncated Nuclear Norm Regularization., , , , , and . BIBM, page 1851-1855. IEEE Computer Society, (2016)