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.
485 related articles for article (PubMed ID: 31611968)
1. Exploration of estrogen receptor-associated hub genes and potential molecular mechanisms in non-smoking females with lung adenocarcinoma using integrated bioinformatics analysis. Wang H; Zhang Z; Xu K; Wei S; Li L; Wang L Oncol Lett; 2019 Nov; 18(5):4605-4612. PubMed ID: 31611968 [TBL] [Abstract][Full Text] [Related]
2. Identifying Ding J; Liu Y; Lai Y PeerJ; 2020; 8():e10419. PubMed ID: 33282565 [TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics analysis of microarray data from the GEO database to identify the candidate genes linked to poor prognosis in lung adenocarcinoma. Liu X; Li L; Xie X; Zhuang D; Hu C Technol Health Care; 2023; 31(2):579-592. PubMed ID: 36336945 [TBL] [Abstract][Full Text] [Related]
4. Estimation of Hub Genes and Infiltrating Immune Cells in Non-Smoking Females with Lung Adenocarcinoma by Integrated Bioinformatic Analysis. Li J; Wang B; Li X; Zhu Y Med Sci Monit; 2020 Jul; 26():e922680. PubMed ID: 32669531 [TBL] [Abstract][Full Text] [Related]
5. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis. Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151 [TBL] [Abstract][Full Text] [Related]
6. 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; 20(4):3720-3732. PubMed ID: 32855723 [TBL] [Abstract][Full Text] [Related]
7. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases. Yu Y; Tian X Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511 [TBL] [Abstract][Full Text] [Related]
8. Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis. He F; Ai B; Tian L Biomed Rep; 2018 Oct; 9(4):305-312. PubMed ID: 30233782 [TBL] [Abstract][Full Text] [Related]
9. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis. Deng JL; Xu YH; Wang G Front Genet; 2019; 10():695. PubMed ID: 31428132 [No Abstract] [Full Text] [Related]
10. Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis. Li Z; Sang M; Tian Z; Liu Z; Lv J; Zhang F; Shan B Oncol Lett; 2019 Nov; 18(5):4429-4440. PubMed ID: 31611952 [TBL] [Abstract][Full Text] [Related]
11. Identification of candidate genes and prognostic value analysis in patients with PDL1-positive and PDL1-negative lung adenocarcinoma. Qi X; Qi C; Kang X; Hu Y; Han W PeerJ; 2020; 8():e9362. PubMed ID: 32607285 [TBL] [Abstract][Full Text] [Related]
12. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus. Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912 [TBL] [Abstract][Full Text] [Related]
13. Identification of differential protein-coding gene expressions in early phase lung adenocarcinoma. Zhou LN; Li SC; Li XY; Ge H; Li HM Thorac Cancer; 2018 Feb; 9(2):234-240. PubMed ID: 29266838 [TBL] [Abstract][Full Text] [Related]
14. Identification of Key Genes and Pathways in Female Lung Cancer Patients Who Never Smoked by a Bioinformatics Analysis. Shi K; Li N; Yang M; Li W J Cancer; 2019; 10(1):51-60. PubMed ID: 30662525 [TBL] [Abstract][Full Text] [Related]
15. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis. Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250 [TBL] [Abstract][Full Text] [Related]
16. Identification of potential drugs for diffuse large b-cell lymphoma based on bioinformatics and Connectivity Map database. Luo B; Gu YY; Wang XD; Chen G; Peng ZG Pathol Res Pract; 2018 Nov; 214(11):1854-1867. PubMed ID: 30244948 [TBL] [Abstract][Full Text] [Related]
17. Elevated mRNA Levels of AURKA, CDC20 and TPX2 are associated with poor prognosis of smoking related lung adenocarcinoma using bioinformatics analysis. Zhang MY; Liu XX; Li H; Li R; Liu X; Qu YQ Int J Med Sci; 2018; 15(14):1676-1685. PubMed ID: 30588191 [No Abstract] [Full Text] [Related]
18. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer. Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489 [TBL] [Abstract][Full Text] [Related]
19. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis. Li T; Gao X; Han L; Yu J; Li H World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304 [TBL] [Abstract][Full Text] [Related]
20. Identification of potential key molecular biomarkers in lung adenocarcinoma by bioinformatics analysis. Guo P; Xu T; Jiang Y; Shen W Transl Cancer Res; 2022 Jan; 11(1):227-241. PubMed ID: 35261899 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]