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Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.

, , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (3): 974-987 (2018)

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Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation., , , , and . ICIC (3), volume 8590 of Lecture Notes in Computer Science, page 34-40. Springer, (2014)Eigenface-Based Sparse Representation for Face Recognition., , , and . ICIC (2), volume 7996 of Lecture Notes in Computer Science, page 457-465. Springer, (2013)Tumor Classification Using Non-negative Matrix Factorization., , , and . ICIC (3), volume 15 of Communications in Computer and Information Science, page 236-243. Springer, (2008)Nonlinear Blind Source Separation Using Hybrid Neural Networks., , , and . ISNN (1), volume 3971 of Lecture Notes in Computer Science, page 1165-1170. Springer, (2006)Bark Classification Based on Textural Features Using Artificial Neural Networks., , , and . ISNN (2), volume 3972 of Lecture Notes in Computer Science, page 355-360. Springer, (2006)A feature-based approach to predict hot spots in protein-DNA binding interfaces., , , and . Briefings Bioinform., 21 (3): 1038-1046 (2020)Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (1): 277-284 (January 2023)Cancer genes discovery based on integtating transcriptomic data and the impact of gene length., , , and . BIBM, page 1265-1268. IEEE Computer Society, (2016)Inferring the Transcriptional Modules Using Penalized Matrix Decomposition., , , , and . ICIC (2), volume 6216 of Lecture Notes in Computer Science, page 35-41. Springer, (2010)Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm., , , , and . ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 742-749. Springer, (2016)