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A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction.

, , , , , , and . Briefings Bioinform., (2022)

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A fuzzy multiple attribute decision making method based on possibility degree., , , and . FSKD, page 450-454. IEEE, (2015)iGRLCDA: identifying circRNA-disease association based on graph representation learning., , , , , , and . Briefings Bioinform., (2022)A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction., , , , , , and . Briefings Bioinform., (2022)ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks., , , , , and . SPML, page 142-149. ACM, (2023)GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association., , , , and . IEEE J. Biomed. Health Informatics, 28 (3): 1742-1751 (March 2024)PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction., , , , , , and . PLoS Comput. Biol., (2017)SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution., , , , , , , and . J. Chem. Inf. Model., 64 (1): 238-249 (January 2024)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)