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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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Increasing reliability of protein interactome by fast manifold embedding., , , , and . Pattern Recognition Letters, 34 (4): 372-379 (2013)Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor., , , , and . Memetic Computing, page 80-85. IEEE, (2013)Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features., , , , , , and . Neurocomputing, (2016)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)HEMD: a highly efficient random forest-based malware detection framework for Android., , , , , and . Neural Computing and Applications, 30 (11): 3353-3361 (2018)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)Graph representation learning in bioinformatics: trends, methods and applications., , , and . Briefings Bioinform., (2022)PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning., , , , and . IEEE/ACM Trans. Comput. Biology Bioinform., 14 (5): 1165-1172 (2017)An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information., , , , , and . IEEE/ACM Trans. Comput. Biology Bioinform., 16 (3): 809-817 (2019)