126 related articles for article (PubMed ID: 33136891)
21. The Identification of Key Genes and Pathways in Glioma by Bioinformatics Analysis.
Liu M; Xu Z; Du Z; Wu B; Jin T; Xu K; Xu L; Li E; Xu H
J Immunol Res; 2017; 2017():1278081. PubMed ID: 29362722
[TBL] [Abstract][Full Text] [Related]
22. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
[TBL] [Abstract][Full Text] [Related]
23. Tumor-associated macrophages based signaling pathway analysis and hub genes identification in glioma.
Wang X; Ning W; Qiu Z; Li S; Zhang H; Yu C
Medicine (Baltimore); 2020 Dec; 99(51):e23840. PubMed ID: 33371165
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Candidate genes and microRNAs for glioma pathogenesis and prognosis based on gene expression profiles.
Xie C; Xu M; Lu D; Zhang W; Wang L; Wang H; Li J; Ren F; Wang C
Mol Med Rep; 2018 Sep; 18(3):2715-2723. PubMed ID: 30015885
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis.
Chen DQ; Kong XS; Shen XB; Huang MZ; Zheng JP; Sun J; Xu SH
Cardiovasc Ther; 2019; 2019():8490707. PubMed ID: 31772617
[TBL] [Abstract][Full Text] [Related]
28. Analysis and identification of novel biomarkers involved in neuroblastoma via integrated bioinformatics.
Chen B; Ding P; Hua Z; Qin X; Li Z
Invest New Drugs; 2021 Feb; 39(1):52-65. PubMed ID: 32772341
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
31. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
32. Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development.
Qian L; Xia Z; Zhang M; Han Q; Hu D; Qi S; Xing D; Chen Y; Zhao X
J Diabetes Res; 2021; 2021():5445349. PubMed ID: 34513999
[TBL] [Abstract][Full Text] [Related]
33. An Integrated Network Analysis of mRNA and Gene Expression Profiles in Parkinson's Disease.
Wang Y; Wang Z
Med Sci Monit; 2020 Mar; 26():e920846. PubMed ID: 32210219
[TBL] [Abstract][Full Text] [Related]
34. Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.
Zhu H; Zhu X; Liu Y; Jiang F; Chen M; Cheng L; Cheng X
Comput Math Methods Med; 2020; 2020():9602016. PubMed ID: 33149760
[TBL] [Abstract][Full Text] [Related]
35. Identification of differentially expressed genes and signaling pathways in ovarian cancer by integrated bioinformatics analysis.
Yang X; Zhu S; Li L; Zhang L; Xian S; Wang Y; Cheng Y
Onco Targets Ther; 2018; 11():1457-1474. PubMed ID: 29588600
[TBL] [Abstract][Full Text] [Related]
36. Identification of Potential Key Genes and Pathways in Enzalutamide-Resistant Prostate Cancer Cell Lines: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.
Zheng L; Dou X; Ma X; Qu W; Tang X
Biomed Res Int; 2020; 2020():8341097. PubMed ID: 32724813
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Investigation of the underlying genes and mechanism of familial hypercholesterolemia through bioinformatics analysis.
Wang D; Liu B; Xiong T; Yu W; She Q
BMC Cardiovasc Disord; 2020 Sep; 20(1):419. PubMed ID: 32938406
[TBL] [Abstract][Full Text] [Related]
39. Identification of Vital Hub Genes and Potential Molecular Pathways of Dermatomyositis by Bioinformatics Analysis.
Ouyang X; Zeng Y; Jiang X; Xu H; Ning Y
Biomed Res Int; 2021; 2021():9991726. PubMed ID: 34580642
[TBL] [Abstract][Full Text] [Related]
40. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
Cheng Q; Chen X; Wu H; Du Y
J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]