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Cited by in F6Publishing
For: Deng J, Zeng W, Luo S, Kong W, Shi Y, Li Y, Zhang H. Integrating multiple genomic imaging data for the study of lung metastasis in sarcomas using multi-dimensional constrained joint non-negative matrix factorization. Information Sciences 2021;576:24-36. [DOI: 10.1016/j.ins.2021.06.058] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Ma Z, Chen B, Zhang Y, Zeng J, Tao J, Hu Y. Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study. Front Genet 2022;13:967363. [DOI: 10.3389/fgene.2022.967363] [Reference Citation Analysis]
2 Wang Y, Zhou G, Guan T, Wang Y, Xuan C, Ding T, Gao J. A network-based matrix factorization framework for ceRNA co-modules recognition of cancer genomic data. Brief Bioinform 2022:bbac154. [PMID: 35514181 DOI: 10.1093/bib/bbac154] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Tan K, Huang W, Liu X, Hu J, Dong S. A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. Artificial Intelligence in Medicine 2022;126:102260. [DOI: 10.1016/j.artmed.2022.102260] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
4 Zhang R, Liu Y. Research on the Academic Impact of Sports in the Multidimensional Matrix Evaluation Framework. Discrete Dynamics in Nature and Society 2021;2021:1-11. [DOI: 10.1155/2021/7248148] [Reference Citation Analysis]