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Prediction of potential miRNA-disease associations using matrix decomposition and label propagation., , , , и . Knowl. Based Syst., (2019)A new consensus algorithm in uncertain linguistic multiple attribute group decision., , , и . ICNC-FSKD, стр. 878-883. IEEE, (2016)Fatigue Performance of RC Beams Strengthened with CFRP under Overloads with a Ladder Spectrum., , , , , , и . Sensors, 18 (10): 3321 (2018)GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks., , , , и . ICIC (2), том 12464 из Lecture Notes in Computer Science, стр. 109-120. Springer, (2020)SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution., , , , , , , и . J. Chem. Inf. Model., 64 (1): 238-249 (января 2024)GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association., , , , и . IEEE J. Biomed. Health Informatics, 28 (3): 1742-1751 (марта 2024)PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction., , , , , , и . PLoS Comput. Biol., (2017)Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences., , , , , , и . ICIC (2), том 11644 из Lecture Notes in Computer Science, стр. 138-150. Springer, (2019)An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram., , , , и . ICIC (2), том 11644 из Lecture Notes in Computer Science, стр. 453-459. Springer, (2019)A fuzzy multiple attribute decision making method based on possibility degree., , , и . FSKD, стр. 450-454. IEEE, (2015)