150 related articles for article (PubMed ID: 30410353)
1. Identification of critically carcinogenesis-related genes in basal cell carcinoma.
Dai J; Lin K; Huang Y; Lu Y; Chen WQ; Zhang XR; He BS; Pan YQ; Wang SK; Fan WX
Onco Targets Ther; 2018; 11():6957-6967. PubMed ID: 30410353
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. 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]
5. 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]
6. Identification of Important Invasion-Related Genes in Non-functional Pituitary Adenomas.
Joshi H; Vastrad B; Vastrad C
J Mol Neurosci; 2019 Aug; 68(4):565-589. PubMed ID: 30982163
[TBL] [Abstract][Full Text] [Related]
7. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
8. Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis.
Zhou L; Du Y; Kong L; Zhang X; Chen Q
Onco Targets Ther; 2018; 11():1861-1869. PubMed ID: 29670361
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
10. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Identification of the interaction network of hub genes for melanoma treated with vemurafenib based on microarray data.
Quan L; Wang Y; Liang J; Shi J; Zhang Y; Tao K
Tumori; 2015; 101(4):368-74. PubMed ID: 25983087
[TBL] [Abstract][Full Text] [Related]
14. Identification of differentially expressed genes and biological pathways in bladder cancer.
Tang F; He Z; Lei H; Chen Y; Lu Z; Zeng G; Wang H
Mol Med Rep; 2018 May; 17(5):6425-6434. PubMed ID: 29532898
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of genes and signaling pathways associated with squamous cell carcinoma by bioinformatics analysis.
Shen LI; Liu L; Yang Z; Jiang N
Oncol Lett; 2016 Feb; 11(2):1382-1390. PubMed ID: 26893747
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]