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Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.

, , , , , and . ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 407-418. Springer, (2018)

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Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples., , , , , and . BIBM, page 1332-1337. IEEE Computer Society, (2018)Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data., , , , and . ICIC (2), volume 9772 of Lecture Notes in Computer Science, page 290-299. Springer, (2016)Network analysis based on low-rank method for mining information on integrated data of multi-cancers., , , , , and . Comput. Biol. Chem., (2019)Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data., , , , , and . ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 407-418. Springer, (2018)Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection., , , , , and . BIBM, page 1253-1258. IEEE Computer Society, (2016)An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis., , , and . IDMB, volume 1099 of Communications in Computer and Information Science, page 97-111. Springer, (2019)Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data., , , , and . ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 419-431. Springer, (2018)