238 related articles for article (PubMed ID: 32733557)
1. Gene Expression, Network Analysis, and Drug Discovery of Neurofibromatosis Type 2-Associated Vestibular Schwannomas Based on Bioinformatics Analysis.
Huang Q; Zhai SJ; Liao XW; Liu YC; Yin SH
J Oncol; 2020; 2020():5976465. PubMed ID: 32733557
[TBL] [Abstract][Full Text] [Related]
2. Identification of hub genes and drug candidates for NF2-related vestibular schwannoma by bioinformatics tools.
Yuan J; Fu Y; Liu Y
Medicine (Baltimore); 2023 Dec; 102(50):e36696. PubMed ID: 38115252
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.
Cheng C; Hua J; Tan J; Qian W; Zhang L; Hou X
Exp Ther Med; 2019 Jul; 18(1):278-288. PubMed ID: 31258663
[TBL] [Abstract][Full Text] [Related]
6. Identification of Gene Changes Induced by Dexamethasone in the Anterior Segment of the Human Eye Using Bioinformatics Analysis.
Zhang Y; Yang A; Huang J
Med Sci Monit; 2019 Jul; 25():5501-5509. PubMed ID: 31339875
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.
He F; Ai B; Tian L
Biomed Rep; 2018 Oct; 9(4):305-312. PubMed ID: 30233782
[TBL] [Abstract][Full Text] [Related]
11. Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics Analysis.
Lin Y; Li J; Wu D; Wang F; Fang Z; Shen G
Diabetes Metab Syndr Obes; 2020; 13():1793-1801. PubMed ID: 32547141
[TBL] [Abstract][Full Text] [Related]
12. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
15. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
16. Identification of potential therapeutic target genes and mechanisms in head and neck squamous cell carcinoma by bioinformatics analysis.
Kuang J; Zhao M; Li H; Dang W; Li W
Oncol Lett; 2016 May; 11(5):3009-3014. PubMed ID: 27123054
[TBL] [Abstract][Full Text] [Related]
17. Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis.
Wu K; Yi Y; Liu F; Wu W; Chen Y; Zhang W
Oncol Lett; 2018 Jul; 16(1):1003-1009. PubMed ID: 29963176
[TBL] [Abstract][Full Text] [Related]
18. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
[TBL] [Abstract][Full Text] [Related]
19. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
20. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]