Rank-preserving biclustering algorithm: a case study on miRNA breast cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-020-02271-0.pdf
Reference49 articles.
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2. Larrea E, Sole C, Manterola L, Goicoechea I, Armesto M, Arestin M, Caffarel MM, Araujo AM, Araiz M, Fernandez-Mercado M, et al. (2016) New concepts in cancer biomarkers: circulating miRNAs in liquid biopsies. Int. J. Mol. Sci. 17(5):627
3. Vargo-Gogola T, Rosen JM (2007) Modelling breast cancer: one size does not fit all. Nat Rev Cancer 7(9):659
4. Wang YK, Crampin EJ, et al. (2013) Biclustering reveals breast cancer tumour subgroups with common clinical features and improves prediction of disease recurrence. BMC Genomics 14(1):102
5. Hamam R, Hamam D, Alsaleh KA, Kassem M, Zaher W, Alfayez M, Aldahmash A, Alajez NM (2017) Circulating microRNAs in breast cancer: novel diagnostic and prognostic biomarkers. Cell Death Dis. 8(9):e3045
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