112 related articles for article (PubMed ID: 37605568)
21. 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]
22. Identification and Clinical Validation of Key Extracellular Proteins as the Potential Biomarkers in Relapsing-Remitting Multiple Sclerosis.
Li M; Chen H; Yin P; Song J; Jiang F; Tang Z; Fan X; Xu C; Wang Y; Xue Y; Han B; Wang H; Li G; Zhong D
Front Immunol; 2021; 12():753929. PubMed ID: 34950135
[TBL] [Abstract][Full Text] [Related]
23. CCNA2 and KIF23 are molecular targets for the prognosis of adenoid cystic carcinoma.
Di Y; Zhang H; Zhang B; Li T; Li D
Aging (Albany NY); 2024 Apr; 16():. PubMed ID: 38568110
[TBL] [Abstract][Full Text] [Related]
24. [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]
25. [Bioinformatics analysis of differentially expressed genes associated with chronic schistosomiasis japonica-induced hepatic fibrosis].
Du ZX; Li Y; Wang ZJ; Zhou DM; Yang JH
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Aug; 34(4):352-360. PubMed ID: 36116924
[TBL] [Abstract][Full Text] [Related]
26. Exploration of hub genes involved in PCOS using biological informatics methods.
Zhou F; Xing Y; Cheng T; Yang L; Ma H
Medicine (Baltimore); 2022 Oct; 101(40):e30905. PubMed ID: 36221354
[TBL] [Abstract][Full Text] [Related]
27. Identification of key candidate genes and biological pathways in bladder cancer.
Gao X; Chen Y; Chen M; Wang S; Wen X; Zhang S
PeerJ; 2018; 6():e6036. PubMed ID: 30533316
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Targeting the Oncogenic Transcriptional Regulator MYB in Adenoid Cystic Carcinoma by Inhibition of IGF1R/AKT Signaling.
Andersson MK; Afshari MK; Andrén Y; Wick MJ; Stenman G
J Natl Cancer Inst; 2017 Sep; 109(9):. PubMed ID: 28954282
[TBL] [Abstract][Full Text] [Related]
30. Reconstruction and analysis of the aberrant lncRNA-miRNA-mRNA network based on competitive endogenous RNA in adenoid cystic carcinoma of the salivary gland.
Tang YF; Wu WJ; Zhang JY; Zhang J
Transl Cancer Res; 2021 Dec; 10(12):5133-5149. PubMed ID: 35116364
[TBL] [Abstract][Full Text] [Related]
31. Identification of key genes and the pathophysiology associated with allergen-specific immunotherapy for allergic rhinitis.
Fan K; Zhou S; Jin L; Tan S; Lai J; Zhang Z; Li J; Xu X; Yao C; Yan Z; Yu S
BMC Immunol; 2023 Jul; 24(1):19. PubMed ID: 37430199
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.
Zhang Q; Guo Y; Zhang B; Liu H; Peng Y; Wang D; Zhang D
Front Cardiovasc Med; 2022; 9():939972. PubMed ID: 35958412
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Biological information analysis of differentially expressed genes in oral squamous cell carcinoma tissues in GEO database.
Wang Y; Fan H; Zheng L
J BUON; 2018; 23(6):1662-1670. PubMed ID: 30610792
[TBL] [Abstract][Full Text] [Related]
36. Identification of differentially expressed metastatic genes and their signatures to predict the overall survival of uveal melanoma patients by bioinformatics analysis.
Zhao DD; Zhao X; Li WT
Int J Ophthalmol; 2020; 13(7):1046-1053. PubMed ID: 32685390
[TBL] [Abstract][Full Text] [Related]
37. Single-cell RNA and transcriptome sequencing profiles identify immune-associated key genes in the development of diabetic kidney disease.
Zhang X; Chao P; Zhang L; Xu L; Cui X; Wang S; Wusiman M; Jiang H; Lu C
Front Immunol; 2023; 14():1030198. PubMed ID: 37063851
[TBL] [Abstract][Full Text] [Related]
38. Identification of differentially expressed genes and signaling pathways in papillary thyroid cancer: a study based on integrated microarray and bioinformatics analysis.
Sun T; Guan Q; Wang Y; Qian K; Sun W; Ji Q; Wu Y; Guo K; Xiang J
Gland Surg; 2021 Feb; 10(2):629-644. PubMed ID: 33708546
[TBL] [Abstract][Full Text] [Related]
39. [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]
40. Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.
Durrani IA; Bhatti A; John P
PLoS One; 2023; 18(8):e0289839. PubMed ID: 37556419
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]