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Network analysis based on low-rank method for mining information on integrated data of multi-cancers.

, , , , , and . Computational Biology and Chemistry, (2019)

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Network analysis based on low-rank method for mining information on integrated data of multi-cancers., , , , , and . Computational Biology and Chemistry, (2019)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)Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples., , , , , and . BIBM, page 1332-1337. IEEE Computer Society, (2018)Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection., , , , , and . BIBM, page 1253-1258. IEEE, (2016)A p-norm singular value decomposition method for robust tumor clustering., , , , and . BIBM, page 600-605. IEEE, (2016)Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes., , , , , and . Complexity, (2017)An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis., , , and . IEEE Access, (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)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)Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection., , , , and . Complexity, (2019)