653 related articles for article (PubMed ID: 31181055)
21. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
22. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
23. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Comprehensive analysis of non-small-cell lung cancer microarray datasets identifies several prognostic biomarkers.
Qin X; Chen R; Xiong R; Tan Z; Gao S; Lin C; Huo T
Future Oncol; 2019 Sep; 15(27):3135-3148. PubMed ID: 31426680
[No Abstract] [Full Text] [Related]
26. 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; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
27. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
Xiong Y; Mi BB; Liu MF; Xue H; Wu QP; Liu GH
Med Sci Monit; 2019 Mar; 25():2246-2256. PubMed ID: 30916045
[TBL] [Abstract][Full Text] [Related]
28. Extracellular Matrix-Related Hubs Genes Have Adverse Effects on Gastric Adenocarcinoma Prognosis Based on Bioinformatics Analysis.
Alatan H; Chen Y; Zhou J; Wang L
Genes (Basel); 2021 Jul; 12(7):. PubMed ID: 34356118
[TBL] [Abstract][Full Text] [Related]
29. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
[TBL] [Abstract][Full Text] [Related]
30. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
31. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
[TBL] [Abstract][Full Text] [Related]
32. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
33. Identification of Gene Changes Induced by Dexamethasone in the Anterior Segment of the Human Eye Using Bioinformatics Analysis.
Zhang Y; Yang A; Huang J
Med Sci Monit; 2019 Jul; 25():5501-5509. PubMed ID: 31339875
[TBL] [Abstract][Full Text] [Related]
34. Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.
Zhang X; Yin S; Ma K
J Int Med Res; 2020 Jun; 48(6):300060520932112. PubMed ID: 32567431
[TBL] [Abstract][Full Text] [Related]
35. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
36. Identification of Potential Genetic Biomarkers and Target Genes of Peri-Implantitis Using Bioinformatics Tools.
Zhang X; Wang Z; Hu L; Shen X; Liu C
Biomed Res Int; 2021; 2021():1759214. PubMed ID: 34931168
[TBL] [Abstract][Full Text] [Related]
37. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
38. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
[TBL] [Abstract][Full Text] [Related]
39. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
40. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
