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Journal Abstract Search
707 related items for PubMed ID: 25573623
1. Identification of hub subnetwork based on topological features of genes in breast cancer. Zhuang DY, Jiang L, He QQ, Zhou P, Yue T. Int J Mol Med; 2015 Mar; 35(3):664-74. PubMed ID: 25573623 [Abstract] [Full Text] [Related]
2. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma. Jin B, Wang W, Du G, Huang GZ, Han LT, Tang ZY, Fan DG, Li J, Zhang SZ. Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876 [Abstract] [Full Text] [Related]
3. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network. Khunlertgit N, Yoon BJ. BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):351. PubMed ID: 27766944 [Abstract] [Full Text] [Related]
4. Identification of hub genes and pathways associated with retinoblastoma based on co-expression network analysis. Wang QL, Chen X, Zhang MH, Shen QH, Qin ZM. Genet Mol Res; 2015 Dec 08; 14(4):16151-61. PubMed ID: 26662407 [Abstract] [Full Text] [Related]
5. Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses. Tang D, Zhao X, Zhang L, Wang Z, Wang C. J Cell Biochem; 2019 Jun 08; 120(6):9522-9531. PubMed ID: 30506958 [Abstract] [Full Text] [Related]
6. Molecular mechanisms associated with breast cancer based on integrated gene expression profiling by bioinformatics analysis. Wu D, Han B, Guo L, Fan Z. J Obstet Gynaecol; 2016 Jul 08; 36(5):615-21. PubMed ID: 26804550 [Abstract] [Full Text] [Related]
17. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis. Zhang X, Cheng X, Liu H, Zheng C, Rao K, Fang Y, Zhou H, Xiong S. Int J Mol Med; 2014 Sep 08; 34(3):863-9. PubMed ID: 24969630 [Abstract] [Full Text] [Related]
18. Molecular mechanisms of breast cancer metastasis by gene expression profile analysis. Zheng T, Wang A, Hu D, Wang Y. Mol Med Rep; 2017 Oct 08; 16(4):4671-4677. PubMed ID: 28791367 [Abstract] [Full Text] [Related]
19. Bioinformatics analysis of gene expression data for the identification of critical genes in breast invasive carcinoma. Li Y, Wang Y. Mol Med Rep; 2017 Dec 08; 16(6):8657-8664. PubMed ID: 28990063 [Abstract] [Full Text] [Related]
20. Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis. Zhai Q, Li H, Sun L, Yuan Y, Wang X. Breast Cancer; 2019 Nov 08; 26(6):784-791. PubMed ID: 31197620 [Abstract] [Full Text] [Related] Page: [Next] [New Search]