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Journal Abstract Search
637 related items for PubMed ID: 27757782
21. Bioinformatics analysis of differentially expressed miRNA-related mRNAs and their prognostic value in breast carcinoma. Zhang GM, Goyal H, Song LL. Oncol Rep; 2018 Jun; 39(6):2865-2872. PubMed ID: 29693181 [Abstract] [Full Text] [Related]
22. Analysis of microarray-identified genes and microRNAs associated with drug resistance in ovarian cancer. Zou J, Yin F, Wang Q, Zhang W, Li L. Int J Clin Exp Pathol; 2015 Jun; 8(6):6847-58. PubMed ID: 26261572 [Abstract] [Full Text] [Related]
23. Integrative analysis of key candidate genes and signaling pathways in ovarian cancer by bioinformatics. Dong C, Tian X, He F, Zhang J, Cui X, He Q, Si P, Shen Y. J Ovarian Res; 2021 Jul 12; 14(1):92. PubMed ID: 34253236 [Abstract] [Full Text] [Related]
24. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data. Chen Y, Liu D, Liu P, Chen Y, Yu H, Zhang Q. Mol Med Rep; 2017 Mar 12; 15(3):1051-1056. PubMed ID: 28098904 [Abstract] [Full Text] [Related]
25. Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis. Qin W, Yuan Q, Liu Y, Zeng Y, Ke D, Dai X, Shuai Y, Hu J, Shi H. Taiwan J Obstet Gynecol; 2021 Nov 12; 60(6):983-994. PubMed ID: 34794761 [Abstract] [Full Text] [Related]
26. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer. Xue B, Li S, Jin X, Liu L. BMC Cancer; 2021 Apr 23; 21(1):452. PubMed ID: 33892654 [Abstract] [Full Text] [Related]
27. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis. Chen L, Lu D, Sun K, Xu Y, Hu P, Li X, Xu F. Gene; 2019 Apr 15; 692():119-125. PubMed ID: 30654001 [Abstract] [Full Text] [Related]
28. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis. Hu S, Liao Y, Chen L. Med Sci Monit; 2018 Sep 14; 24():6438-6448. PubMed ID: 30213925 [Abstract] [Full Text] [Related]
29. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer. Baruah MM, Sharma N. Med Oncol; 2019 Apr 01; 36(5):43. PubMed ID: 30937635 [Abstract] [Full Text] [Related]
30. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis. Shang M, Zhang L, Chen X, Zheng S. Discov Med; 2019 Sep 01; 28(153):159-172. PubMed ID: 31926587 [Abstract] [Full Text] [Related]
31. Identification of key genes and construction of microRNA-mRNA regulatory networks in multiple myeloma by integrated multiple GEO datasets using bioinformatics analysis. Gao H, Wang H, Yang W. Int J Hematol; 2017 Jul 01; 106(1):99-107. PubMed ID: 28316065 [Abstract] [Full Text] [Related]
32. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis. Li L, Lei Q, Zhang S, Kong L, Qin B. Oncol Rep; 2017 Nov 01; 38(5):2607-2618. PubMed ID: 28901457 [Abstract] [Full Text] [Related]
33. Screening the molecular targets of ovarian cancer based on bioinformatics analysis. Du L, Qian X, Dai C, Wang L, Huang D, Wang S, Shen X. Tumori; 2015 Nov 01; 101(4):384-9. PubMed ID: 25953442 [Abstract] [Full Text] [Related]
35. Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis. Wang W, Wang S, Pan L. Exp Ther Med; 2020 Oct 01; 20(4):3720-3732. PubMed ID: 32855723 [Abstract] [Full Text] [Related]
38. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA‑gene pairs in small‑cell lung cancer. Mao Y, Xue P, Li L, Xu P, Cai Y, Chu X, Jiang P, Zhu S. Mol Med Rep; 2019 Sep 01; 20(3):2199-2208. PubMed ID: 31257520 [Abstract] [Full Text] [Related]