864 related articles for article (PubMed ID: 30988824)
1. 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]
2. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
Zou Z; Gan S; Liu S; Li R; Huang J
Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.
Zhang L; Makamure J; Zhao D; Liu Y; Guo X; Zheng C; Liang B
Exp Ther Med; 2020 Jul; 20(1):427-435. PubMed ID: 32537007
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma.
Liu K; Kang M; Zhou Z; Qin W; Wang R
Oncol Lett; 2019 Oct; 18(4):3637-3645. PubMed ID: 31516577
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of core serous epithelial ovarian cancer genes as potential prognostic markers and indicators of the underlying molecular mechanisms using an integrated bioinformatics analysis.
Zhang YB; Jiang Y; Wang J; Ma J; Han S
Oncol Lett; 2019 Nov; 18(5):5508-5522. PubMed ID: 31612059
[TBL] [Abstract][Full Text] [Related]
9. DNA methylation biomarkers for nasopharyngeal carcinoma.
Han B; Yang X; Zhang P; Zhang Y; Tu Y; He Z; Li Y; Yuan J; Dong Y; Hosseini DK; Zhou T; Sun H
PLoS One; 2020; 15(4):e0230524. PubMed ID: 32271791
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
13. Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis.
Xu Y; Huang X; Ye W; Zhang Y; Li C; Bai P; Lin Z; Chen C
Cancer Cell Int; 2020; 20():408. PubMed ID: 32863767
[TBL] [Abstract][Full Text] [Related]
14. Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.
Song Y; Feng T; Cao W; Yu H; Zhang Z
Comput Intell Neurosci; 2022; 2022():9022700. PubMed ID: 35712071
[TBL] [Abstract][Full Text] [Related]
15. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
16. Identification of key candidate genes involved in melanoma metastasis.
Chen J; Wu F; Shi Y; Yang D; Xu M; Lai Y; Liu Y
Mol Med Rep; 2019 Aug; 20(2):903-914. PubMed ID: 31173190
[TBL] [Abstract][Full Text] [Related]
17. Screening Key Genes and Biological Pathways in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis.
Tai J; Park J; Han M; Kim TH
Int J Mol Sci; 2022 Dec; 23(24):. PubMed ID: 36555343
[TBL] [Abstract][Full Text] [Related]
18. Identification of key genes and pathways for esophageal squamous cell carcinoma by bioinformatics analysis.
Chen X; Cai S; Li B; Zhang X; Li W; Linag H; Cao X
Exp Ther Med; 2018 Aug; 16(2):1121-1130. PubMed ID: 30112053
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]