782 related articles for article (PubMed ID: 35313524)
1. 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]
2. 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]
3. 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]
4. SOX9 and IL1A as the Potential Gene Biomarkers of the Oral Cancer.
Li T; Cheng D; Guo J; Chen H; Zhang S; Bao Y
Comb Chem High Throughput Screen; 2023; 26(8):1461-1479. PubMed ID: 35762542
[TBL] [Abstract][Full Text] [Related]
5. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
[TBL] [Abstract][Full Text] [Related]
6. Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis.
Hu Y; Yu Y; Dong H; Jiang W
PeerJ; 2023; 11():e15437. PubMed ID: 37250717
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatic Identification of the Pyroptosis-Related Transcription Factor-MicroRNA-Target Gene Regulatory Network in Angiotensin II-Induced Cardiac Remodeling and Validation of Key Components.
Huang T; Ding J; Lin L; Han L; Yu L; Li M
Front Biosci (Landmark Ed); 2023 Nov; 28(11):293. PubMed ID: 38062833
[TBL] [Abstract][Full Text] [Related]
8. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods.
Liu J; Cheng Z
Comb Chem High Throughput Screen; 2023; 26(4):653-667. PubMed ID: 35996248
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. A comparison expression analysis of CXCR4, CXCL9 and Caspase-9 in dermal vascular endothelial cells between keloids and normal skin on chemotaxis and apoptosis.
Dong X; Zhang M; Chen Y; Li C; Wang Y; Jin X
J Plast Surg Hand Surg; 2022 Apr; 56(2):93-102. PubMed ID: 34110956
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatic Analysis Identifies Potential Extracellular Matrix Related Genes in the Pathogenesis of Early Onset Preeclampsia.
Zhan F; He L; Wu J; Wu X
Biochem Genet; 2024 Apr; 62(2):646-665. PubMed ID: 37498421
[TBL] [Abstract][Full Text] [Related]
14. Identification of potential crucial genes associated with early-onset preeclampsia via bioinformatic analysis.
Kang Q; Li W; Xiao J; Yu N; Fan L; Sha M; Ma S; Wu J; Chen S
Pregnancy Hypertens; 2021 Jun; 24():27-36. PubMed ID: 33640831
[TBL] [Abstract][Full Text] [Related]
15. Exploration of the pathogenesis of Sjögren's syndrome via DNA methylation and transcriptome analyses.
Du Y; Li J; Wu J; Zeng F; He C
Clin Rheumatol; 2022 Sep; 41(9):2765-2777. PubMed ID: 35562622
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
Cui Z; Song Q; Chen Y; Yang K
Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
[TBL] [Abstract][Full Text] [Related]
19. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
20. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
[Next] [New Search]
