200 related articles for article (PubMed ID: 33173953)
21. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
22. An lncRNA‑miRNA‑mRNA ceRNA network for adipocyte differentiation from human adipose‑derived stem cells.
Guo Z; Cao Y
Mol Med Rep; 2019 May; 19(5):4271-4287. PubMed ID: 30896814
[TBL] [Abstract][Full Text] [Related]
23. Identification of pivotal genes and pathways in the synovial tissue of patients with rheumatoid arthritis and osteoarthritis through integrated bioinformatic analysis.
Aihaiti Y; Tuerhong X; Ye JT; Ren XY; Xu P
Mol Med Rep; 2020 Oct; 22(4):3513-3524. PubMed ID: 32945465
[TBL] [Abstract][Full Text] [Related]
24. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
[TBL] [Abstract][Full Text] [Related]
25. Weighted Gene Co-Expression Network Analysis Identifies Hub Genes Associated with Occurrence and Prognosis of Oral Squamous Cell Carcinoma.
Ge Y; Li W; Ni Q; He Y; Chu J; Wei P
Med Sci Monit; 2019 Sep; 25():7272-7288. PubMed ID: 31562292
[TBL] [Abstract][Full Text] [Related]
26. Bioinformatic analysis of microRNA-mRNA expression profiles of bladder tissue induced by bladder outlet obstruction in a rat model.
Duan LJ; Cao QF; Xu D; Liu HL; Qi J
Mol Med Rep; 2017 Oct; 16(4):4803-4810. PubMed ID: 28791388
[TBL] [Abstract][Full Text] [Related]
27. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
28. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
29. Bioinformatics analysis to identify key genes and pathways influencing synovial inflammation in osteoarthritis.
Lin J; Wu G; Zhao Z; Huang Y; Chen J; Fu C; Ye J; Liu X
Mol Med Rep; 2018 Dec; 18(6):5594-5602. PubMed ID: 30365099
[TBL] [Abstract][Full Text] [Related]
30. Identification of key pathways and genes in Barrett's esophagus using integrated bioinformatics methods.
Zhang C; Shen Y; Wang J; Zhou M; Chen Y
Mol Med Rep; 2018 Feb; 17(2):3069-3077. PubMed ID: 29257318
[TBL] [Abstract][Full Text] [Related]
31. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
[TBL] [Abstract][Full Text] [Related]
34. Identification of important invasion and proliferation related genes in adrenocortical carcinoma.
Alshabi AM; Vastrad B; Shaikh IA; Vastrad C
Med Oncol; 2019 Jul; 36(9):73. PubMed ID: 31321566
[TBL] [Abstract][Full Text] [Related]
35. Integrated analysis of multiple microarray studies to identify potential pathogenic gene modules in preeclampsia.
Xu H; Xie Y; Sun Y; Guo R; Lv D; Li X; Li F; He M; Fan Y; Deng D
Exp Mol Pathol; 2021 Jun; 120():104631. PubMed ID: 33744280
[TBL] [Abstract][Full Text] [Related]
36. Identification of Biomarkers Associated with Septic Cardiomyopathy Based on Bioinformatics Analyses.
Chen M; Kong C; Zheng Z; Li Y
J Comput Biol; 2020 Jan; 27(1):69-80. PubMed ID: 31424269
[TBL] [Abstract][Full Text] [Related]
37. Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.
Xu X; Li H
Mol Med Rep; 2016 Apr; 13(4):3063-73. PubMed ID: 26936111
[TBL] [Abstract][Full Text] [Related]
38. 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; 106(1):99-107. PubMed ID: 28316065
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. 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]
[Previous] [Next] [New Search]
