These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
165 related articles for article (PubMed ID: 29322790)
1. Integrated network analysis to identify the key genes, transcription factors, and microRNAs involved in hepatocellular carcinoma. Shi SQ; Ke JJ; Xu QS; Wu WQ; Wan YY Neoplasma; 2018; 65(1):66-74. PubMed ID: 29322790 [TBL] [Abstract][Full Text] [Related]
2. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC. Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391 [TBL] [Abstract][Full Text] [Related]
3. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis. Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149 [TBL] [Abstract][Full Text] [Related]
4. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing. Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494 [TBL] [Abstract][Full Text] [Related]
5. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis. Yang WX; Pan YY; You CG Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652 [TBL] [Abstract][Full Text] [Related]
6. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays. Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143 [TBL] [Abstract][Full Text] [Related]
7. Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma. Guan D; Tian H World J Surg Oncol; 2017 Sep; 15(1):177. PubMed ID: 28934958 [TBL] [Abstract][Full Text] [Related]
8. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker. Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z Gene; 2019 May; 698():9-18. PubMed ID: 30825595 [TBL] [Abstract][Full Text] [Related]
9. Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence. Yan H; Li Z; Shen Q; Wang Q; Tian J; Jiang Q; Gao L Pathol Res Pract; 2017 Apr; 213(4):316-321. PubMed ID: 28238542 [TBL] [Abstract][Full Text] [Related]
10. Identification of the critical genes and miRNAs in hepatocellular carcinoma by integrated bioinformatics analysis. Wang J; Wang C; Yang L; Li K Med Oncol; 2022 Jan; 39(2):21. PubMed ID: 34982264 [TBL] [Abstract][Full Text] [Related]
11. CUL4B, NEDD4, and UGT1As involve in the TGF-β signalling in hepatocellular carcinoma. Qu Z; Li D; Xu H; Zhang R; Li B; Sun C; Dong W; Zhang Y Ann Hepatol; 2016; 15(4):568-76. PubMed ID: 27236156 [TBL] [Abstract][Full Text] [Related]
12. Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis. Zhang Q; Sun S; Zhu C; Zheng Y; Cai Q; Liang X; Xie H; Zhou J Mol Med Rep; 2019 Apr; 19(4):2479-2488. PubMed ID: 30720105 [TBL] [Abstract][Full Text] [Related]
13. Screening key miRNAs for human hepatocellular carcinoma based on miRNA-mRNA functional synergistic network. Zhang CJ; Du HJ Neoplasma; 2017; 64(6):816-823. PubMed ID: 28895405 [TBL] [Abstract][Full Text] [Related]
14. Gene expression, regulation of DEN and HBx induced HCC mice models and comparisons of tumor, para-tumor and normal tissues. Tang Q; Wang Q; Zhang Q; Lin SY; Zhu Y; Yang X; Guo AY BMC Cancer; 2017 Dec; 17(1):862. PubMed ID: 29254483 [TBL] [Abstract][Full Text] [Related]
15. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma. Gao X; Wang X; Zhang S Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341252 [TBL] [Abstract][Full Text] [Related]
16. Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma. Wang J; Tian Y; Chen H; Li H; Zheng S Mol Med Rep; 2018 Jun; 17(6):8153-8160. PubMed ID: 29658607 [TBL] [Abstract][Full Text] [Related]
17. Identification of typical miRNAs and target genes in hepatocellular carcinoma by DNA microarray technique. He TL; Zheng KL; Li G; Song B; Zhang YJ Eur Rev Med Pharmacol Sci; 2014; 18(1):108-16. PubMed ID: 24452951 [TBL] [Abstract][Full Text] [Related]
18. Critical genes of hepatocellular carcinoma revealed by network and module analysis of RNA-seq data. Yang MR; Zhang Y; Wu XX; Chen W Eur Rev Med Pharmacol Sci; 2016 Oct; 20(20):4248-4256. PubMed ID: 27831650 [TBL] [Abstract][Full Text] [Related]
19. Bioinformatic Analysis of Circular RNA-Associated ceRNA Network Associated with Hepatocellular Carcinoma. Wu J; Liu S; Xiang Y; Qu X; Xie Y; Zhang X Biomed Res Int; 2019; 2019():8308694. PubMed ID: 31886256 [TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma. Zhang Y; Wang S; Xiao J; Zhou H Biosci Rep; 2019 Feb; 39(2):. PubMed ID: 30705088 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]