120 related articles for article (PubMed ID: 36423402)
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. 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]
23. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
Chen B; Sun D; Qin X; Gao XH
Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
[TBL] [Abstract][Full Text] [Related]
24. Identification of Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics Analysis.
Geng RX; Li N; Xu Y; Liu JH; Yuan FE; Sun Q; Liu BH; Chen QX
Dis Markers; 2018; 2018():3215958. PubMed ID: 30405856
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. 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]
27. The promising novel biomarkers and candidate small molecule drugs in lower-grade glioma: Evidence from bioinformatics analysis of high-throughput data.
Zhang B; Wu Q; Xu R; Hu X; Sun Y; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Wang Z; Zhou YL
J Cell Biochem; 2019 Sep; 120(9):15106-15118. PubMed ID: 31020692
[TBL] [Abstract][Full Text] [Related]
28. Identification of key protein-coding genes in lung adenocarcinomas based on bioinformatic analysis.
Yao R; Chen X; Wang L; Wang Y; Chi S; Li N; Tian X; Li N; Liu J
Transl Cancer Res; 2019 Dec; 8(8):2829-2840. PubMed ID: 35117040
[TBL] [Abstract][Full Text] [Related]
29. Identification of genes related to low-grade glioma progression and prognosis based on integrated transcriptome analysis.
Jiang Y; He J; Guo Y; Tao H; Pu F; Li Y
J Cell Biochem; 2020 Jun; 121(5-6):3099-3111. PubMed ID: 31886582
[TBL] [Abstract][Full Text] [Related]
30. Caspase-related apoptosis genes in gliomas by RNA-seq and bioinformatics analysis.
Wang R; Wei B; Wei J; Li Z; Tian Y; Du C
J Clin Neurosci; 2016 Nov; 33():259-263. PubMed ID: 27469411
[TBL] [Abstract][Full Text] [Related]
31. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
34. Computational analysis and verification of molecular genetic targets for glioblastoma.
Xue L; Liu H; Chen Y; Wei L; Hong J
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32469390
[TBL] [Abstract][Full Text] [Related]
35. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
36. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
[TBL] [Abstract][Full Text] [Related]
37. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
38. Bioinformatics analysis of key biomarkers and pathways in KSHV infected endothelial cells.
Gong HB; Wu XJ; Pu XM; Kang XJ
Medicine (Baltimore); 2019 Jul; 98(27):e16277. PubMed ID: 31277155
[TBL] [Abstract][Full Text] [Related]
39. Joint bioinformatics analysis of underlying potential functions of hsa-let-7b-5p and core genes in human glioma.
Xi X; Chu Y; Liu N; Wang Q; Yin Z; Lu Y; Chen Y
J Transl Med; 2019 Apr; 17(1):129. PubMed ID: 30995921
[TBL] [Abstract][Full Text] [Related]
40. Identification of Glioma Cancer Stem Cell Characteristics Based on Weighted Gene Prognosis Module Co-Expression Network Analysis of Transcriptome Data Stemness Indices.
Xia P; Li Q; Wu G; Huang Y
J Mol Neurosci; 2020 Oct; 70(10):1512-1520. PubMed ID: 32451841
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
