214 related articles for article (PubMed ID: 37254181)
1. RNA sequencing and bioinformatics analysis of differentially expressed genes in the peripheral serum of ankylosing spondylitis patients.
Bie Y; Zheng X; Chen X; Liu X; Wang L; Sun Y; Kou J
J Orthop Surg Res; 2023 May; 18(1):394. PubMed ID: 37254181
[TBL] [Abstract][Full Text] [Related]
2. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
[TBL] [Abstract][Full Text] [Related]
4. Identification of immune related cells and crucial genes in the peripheral blood of ankylosing spondylitis by integrated bioinformatics analysis.
Zheng Y; Cai B; Ren C; Xu H; Du W; Wu Y; Lin F; Zhang H; Quan R
PeerJ; 2021; 9():e12125. PubMed ID: 34589304
[TBL] [Abstract][Full Text] [Related]
5. Identification of potential biomarkers of vascular calcification using bioinformatics analysis and validation
Chen C; Wu Y; Lu HL; Liu K; Qin X
PeerJ; 2022; 10():e13138. PubMed ID: 35313524
[TBL] [Abstract][Full Text] [Related]
6. Screening for key genes and transcription factors in ankylosing spondylitis by RNA-Seq.
Xu Z; Wang X; Zheng Y
Exp Ther Med; 2018 Feb; 15(2):1394-1402. PubMed ID: 29434723
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics Analysis of Immune Cell Infiltration and Diagnostic Biomarkers between Ankylosing Spondylitis and Inflammatory Bowel Disease.
Zhang X; Chen T; Qian X; He X
Comput Math Methods Med; 2023; 2023():9065561. PubMed ID: 36643579
[TBL] [Abstract][Full Text] [Related]
11. Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis.
Ganekal P; Vastrad B; Vastrad C; Kotrashetti S
Ther Adv Cardiovasc Dis; 2023; 17():17539447231168471. PubMed ID: 37092838
[TBL] [Abstract][Full Text] [Related]
12. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Identification of Biomarker
Xiao B; Cui PL; Li HC; Wang C; Zhang YZ; Wu ZM; Wu CA
Front Biosci (Landmark Ed); 2023 Dec; 28(12):343. PubMed ID: 38179754
[TBL] [Abstract][Full Text] [Related]
16. [Bioinformatics analysis of core differentially expressed genes in hepatitis B virus-related hepatocellular carcinoma].
Yu Y; Cheng J; Mei CZ; Dai YZ
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Nov; 34(5):507-513. PubMed ID: 36464255
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy
Guo M; Dai Y; Jiang L; Gao J
Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518
[TBL] [Abstract][Full Text] [Related]
19. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
20. RNA Sequencing for Gene Expression Profiles in Peripheral Blood Mononuclear Cells with Ankylosing Spondylitis RNA.
Huang D; Liu J; Cao Y; Wan L; Jiang H; Sun Y; Wen J
Biomed Res Int; 2020; 2020():5304578. PubMed ID: 32596323
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
