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PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.

, , , , , , and . PLoS Computational Biology, (2017)

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PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction., , , , , , and . PLoS Computational Biology, (2017)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)An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram., , , , and . ICIC (2), volume 11644 of Lecture Notes in Computer Science, page 453-459. Springer, (2019)A new consensus algorithm in uncertain linguistic multiple attribute group decision., , , and . ICNC-FSKD, page 878-883. IEEE, (2016)Fatigue Performance of RC Beams Strengthened with CFRP under Overloads with a Ladder Spectrum., , , , , , and . Sensors, 18 (10): 3321 (2018)Prediction of potential miRNA-disease associations using matrix decomposition and label propagation., , , , and . Knowl.-Based Syst., (2019)A fuzzy multiple attribute decision making method based on possibility degree., , , and . Journal of Intelligent and Fuzzy Systems, 31 (2): 787-794 (2016)Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning., , , , and . ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 337-344. Springer, (2018)A fuzzy multiple attribute decision making method based on possibility degree., , , and . FSKD, page 450-454. IEEE, (2015)