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A novel essential protein identification method based on PPI networks and gene expression data.

, , , , , , , and . BMC Bioinform., 22 (1): 248 (2021)

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Prediction of LncRNA-Disease Associations Based on Network Consistency Projection., , , , , and . IEEE Access, (2019)Single Cells of Neurospora Crassa Show Circadian Oscillations, Light Entrainment, Temperature Compensation, and Phase Synchronization., , , , , , , , , and 4 other author(s). IEEE Access, (2019)CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer., , , , , and . BMC Bioinform., 20 (1): 67:1-67:13 (2019)Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples., , , , and . BIBM, page 706-711. IEEE, (2022)Potential circRNA-disease association prediction using DeepWalk and network consistency projection., , , , , , and . J. Biomed. Informatics, (2020)Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity., , , , and . J. Biomed. Informatics, (2018)Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution., , , , , and . ISBRA, volume 13760 of Lecture Notes in Computer Science, page 243-254. Springer, (2022)Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (2): 623-634 (2020)A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network., and . J. Biomed. Informatics, (2017)Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk., , , , , and . IEEE Access, (2017)