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Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (1): 277-284 (января 2023)A feature-based approach to predict hot spots in protein-DNA binding interfaces., , , и . Briefings Bioinform., 21 (3): 1038-1046 (2020)Tumor Classification Using Non-negative Matrix Factorization., , , и . ICIC (3), том 15 из Communications in Computer and Information Science, стр. 236-243. Springer, (2008)Eigenface-Based Sparse Representation for Face Recognition., , , и . ICIC (2), том 7996 из Lecture Notes in Computer Science, стр. 457-465. Springer, (2013)Cancer genes discovery based on integtating transcriptomic data and the impact of gene length., , , и . BIBM, стр. 1265-1268. IEEE Computer Society, (2016)Inferring the Transcriptional Modules Using Penalized Matrix Decomposition., , , , и . ICIC (2), том 6216 из Lecture Notes in Computer Science, стр. 35-41. Springer, (2010)Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm., , , , и . ICIC (1), том 9771 из Lecture Notes in Computer Science, стр. 742-749. Springer, (2016)HGMDA: HyperGraph for Predicting MiRNA-Disease Association., , , , , и . ICIC (2), том 11644 из Lecture Notes in Computer Science, стр. 265-271. Springer, (2019)Recognition of Plant Leaves Using Support Vector Machine., , , и . ICIC (3), том 15 из Communications in Computer and Information Science, стр. 192-199. Springer, (2008)Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis., , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 324-334. Springer, (2023)