LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
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DOI: 10.1371/journal.pcbi.1005912
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References listed on IDEAS
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Cited by:
- Ang Li & Yingwei Deng & Yan Tan & Min Chen, 2021. "A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
- Xiujuan Lei & Wenxiang Zhang, 2019. "BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network," Complexity, Hindawi, vol. 2019, pages 1-12, November.
- Xie, Guobo & Wu, Lifeng & Lin, Zhiyi & Cui, Ji, 2020. "WLDAP: A computational model of weighted lncRNA-disease associations prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
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