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LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information.

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

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Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares., , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 302-315. Springer, (2020)scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery., , , and . IEEE J. Biomed. Health Informatics, 28 (6): 3772-3780 (June 2024)Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (6): 3190-3201 (2022)Drug repositioning based on tripartite cross-network embedding and graph convolutional network., , , , , , and . Expert Syst. Appl., (2024)LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information., , , , , , , , and . IEEE Access, (2020)Drug repositioning based on weighted local information augmented graph neural network., , , , , , , , and . Briefings Bioinform., (November 2023)Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism., , , , , , , and . BIBM, page 1620-1626. IEEE, (2023)Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data., , , , , , , , , and 1 other author(s). Comput. Biol. Medicine, (2022)