159 related articles for article (PubMed ID: 38463887)
21. 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]
22. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
23. Potential biomarkers for active renal involvement in systemic lupus erythematosus patients.
Xiao L; Xiao W; Lin S
Front Med (Lausanne); 2022; 9():995103. PubMed ID: 36530895
[TBL] [Abstract][Full Text] [Related]
24. [Bioinformatics Analysis of Core Genes and Key Pathways in Myelodysplastic Syndrome].
Wang Y; Wang YS; Hu NB; Teng GS; Zhou Y; Bai J
Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2022 Jun; 30(3):804-812. PubMed ID: 35680809
[TBL] [Abstract][Full Text] [Related]
25. KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining.
Chen J; Liu C; Cen J; Liang T; Xue J; Zeng H; Zhang Z; Xu G; Yu C; Lu Z; Wang Z; Jiang J; Zhan X; Zeng J
Medicine (Baltimore); 2020 May; 99(18):e19986. PubMed ID: 32358373
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.
Xu B; Wang L; Zhan H; Zhao L; Wang Y; Shen M; Xu K; Li L; Luo X; Zhou S; Tang A; Liu G; Song L; Li Y
J Diabetes Res; 2021; 2021():5546199. PubMed ID: 34124269
[TBL] [Abstract][Full Text] [Related]
30. [Bioinformatics analysis and key gene verification of sepsis myocardial macrophage microarray data based on GEO database].
Hu DX; Chen SS; Yu Y; Hu LL; Liu L; Yu LL
Zhonghua Xin Xue Guan Bing Za Zhi; 2023 Jul; 51(7):759-768. PubMed ID: 37460430
[No Abstract] [Full Text] [Related]
31. 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]
32. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
33. Identification of novel prognostic targets in glioblastoma using bioinformatics analysis.
Yin X; Wu Q; Hao Z; Chen L
Biomed Eng Online; 2022 Apr; 21(1):26. PubMed ID: 35436915
[TBL] [Abstract][Full Text] [Related]
34. Identification and analysis of mitochondria-related central genes in steroid-induced osteonecrosis of the femoral head, along with drug prediction.
Ma Z; Sun J; Jiang Q; Zhao Y; Jiang H; Sun P; Feng W
Front Endocrinol (Lausanne); 2024; 15():1341366. PubMed ID: 38384969
[TBL] [Abstract][Full Text] [Related]
35. Identification and Verification of Potential Core Genes in Pediatric Septic Shock.
Xu Z; Jiang M; Bai X; Ding L; Dong P; Jiang M
Comb Chem High Throughput Screen; 2022; 25(13):2228-2239. PubMed ID: 35272594
[TBL] [Abstract][Full Text] [Related]
36. Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury.
Tang Y; Yang X; Shu H; Yu Y; Pan S; Xu J; Shang Y
Hereditas; 2021 Apr; 158(1):13. PubMed ID: 33863396
[TBL] [Abstract][Full Text] [Related]
37. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
38. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
Liu L; Yang Y; Yu D
Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
[TBL] [Abstract][Full Text] [Related]
39. Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome.
Qi P; Huang M; Li T
BMC Med Genomics; 2023 Mar; 16(1):54. PubMed ID: 36918848
[TBL] [Abstract][Full Text] [Related]
40. CDK1 and CDC20 overexpression in patients with colorectal cancer are associated with poor prognosis: evidence from integrated bioinformatics analysis.
Li J; Wang Y; Wang X; Yang Q
World J Surg Oncol; 2020 Mar; 18(1):50. PubMed ID: 32127012
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
