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Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences.

, , , , , , and . ICIC (2), volume 11644 of Lecture Notes in Computer Science, page 138-150. Springer, (2019)

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The LAMOST Survey of Background Quasars in the Vicinity of the Andromeda and Triangulum Galaxies -- II. Results from the Commissioning Observations and the Pilot Surveys, , , , , , , , , and 61 other author(s). (2013)cite arxiv:1304.3174Comment: 26 pages, 6 figures, AJ accepted.LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization., , , , and . Neurocomputing, (2021)BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path., , , , and . J. Chem. Inf. Model., 63 (16): 5384-5394 (August 2023)MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules., , , , , , , and . BMC Bioinform., 25 (1): 6 (December 2024)A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks., , , , , , , and . Briefings Bioinform., (May 2023)DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph., , and . BMC Bioinform., 22-S (12): 621 (2022)Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations., , , , and . ICIC (2), volume 11644 of Lecture Notes in Computer Science, page 406-417. Springer, (2019)Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information., , , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 279-289. Springer, (2020)A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information., , , , , and . Int. J. Intell. Syst., 36 (1): 593-609 (2021)GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions., , , , , and . IEEE Access, (2020)