177 related articles for article (PubMed ID: 26543493)
1. Temporal Identification of Dysregulated Genes and Pathways in Clear Cell Renal Cell Carcinoma Based on Systematic Tracking of Disrupted Modules.
Wang SM; Sun ZQ; Li HY; Wang J; Liu QY
Comput Math Methods Med; 2015; 2015():313740. PubMed ID: 26543493
[TBL] [Abstract][Full Text] [Related]
2. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
3. Systematic module approach identifies altered genes and pathways in four types of ovarian cancer.
Liu J; Wang HL; Ma FM; Guo HP; Fang NN; Wang SS; Li XH
Mol Med Rep; 2017 Dec; 16(6):7907-7914. PubMed ID: 28983627
[TBL] [Abstract][Full Text] [Related]
4. Integrated Analysis of Three Publicly Available Gene Expression Profiles Identified Genes and Pathways Associated with Clear Cell Renal Cell Carcinoma.
Han Y; Wang L; Wang Y
Med Sci Monit; 2020 Jul; 26():e919965. PubMed ID: 32712616
[TBL] [Abstract][Full Text] [Related]
5. Systematic tracking of altered modules identifies disrupted pathways in teratozoospermia.
Huang ZQ; Wang GX; Jiang XL; Tian EP; Yao WL; Zeng T
Genet Mol Res; 2016 Apr; 15(2):. PubMed ID: 27173237
[TBL] [Abstract][Full Text] [Related]
6. Systematic tracking of dysregulated modules identifies disrupted pathways in narcolepsy.
Liu Z; Zhao J; Tan Y; Tang M; Li G
Int J Clin Exp Med; 2015; 8(6):9384-93. PubMed ID: 26309600
[TBL] [Abstract][Full Text] [Related]
7. Systematic Tracking of Disrupted Modules Identifies Altered Pathways Associated with Congenital Heart Defects in Down Syndrome.
Chen D; Zhang Z; Meng Y
Med Sci Monit; 2015 Nov; 21():3334-42. PubMed ID: 26524729
[TBL] [Abstract][Full Text] [Related]
8. New mechanistic insights of clear cell renal cell carcinoma from integrated miRNA and mRNA expression profiling studies.
Qi Y; Wang L; Wang K; Peng Z; Ma Y; Zheng Z; Shang D; Xu W; Zheng J
Biomed Pharmacother; 2019 Mar; 111():821-834. PubMed ID: 30616081
[TBL] [Abstract][Full Text] [Related]
9. Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis.
Xu T; Ruan H; Song Z; Cao Q; Wang K; Bao L; Liu D; Tong J; Yang H; Chen K; Zhang X
Biomed Pharmacother; 2019 Oct; 118():109264. PubMed ID: 31390578
[TBL] [Abstract][Full Text] [Related]
10. Personalized discovery of altered pathways in clear cell renal cell carcinoma using accumulated normal sample data.
Wang X; Ding M; Yang Y; Feng Y; Shi Z; Qiu F; Zhu M
J BUON; 2016; 21(2):390-8. PubMed ID: 27273949
[TBL] [Abstract][Full Text] [Related]
11. Exploring the mechanism of clear cell renal cell carcinoma metastasis and key genes based on multi-tool joint analysis.
Yang H; Li W; Lv Y; Fan Q; Mao X; Long T; Xie L; Dong C; Yang R; Zhang H
Gene; 2019 Dec; 720():144103. PubMed ID: 31491435
[TBL] [Abstract][Full Text] [Related]
12. Co-expression network analysis identified FCER1G in association with progression and prognosis in human clear cell renal cell carcinoma.
Chen L; Yuan L; Wang Y; Wang G; Zhu Y; Cao R; Qian G; Xie C; Liu X; Xiao Y; Wang X
Int J Biol Sci; 2017; 13(11):1361-1372. PubMed ID: 29209141
[TBL] [Abstract][Full Text] [Related]
13. Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinoma.
Li Z; Chen Y; Hu S; Zhang J; Wu J; Ren W; Shao N; Ying X
Oncotarget; 2016 Dec; 7(50):82671-82685. PubMed ID: 27705920
[TBL] [Abstract][Full Text] [Related]
14. Dysregulated module approach identifies disrupted genes and pathways associated with acute myelocytic leukemia.
Fang Y; Xie LN; Liu XM; Yu Z; Kong FS; Song NX; Zhou F
Eur Rev Med Pharmacol Sci; 2015 Dec; 19(24):4811-26. PubMed ID: 26744873
[TBL] [Abstract][Full Text] [Related]
15. Identification of key biomarkers involved in osteosarcoma using altered modules.
Liu ZZ; Cui ST; Tang B; Wang ZZ; Luan ZX
Genet Mol Res; 2016 Aug; 15(3):. PubMed ID: 27706618
[TBL] [Abstract][Full Text] [Related]
16. Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysis.
Yuan L; Zeng G; Chen L; Wang G; Wang X; Cao X; Lu M; Liu X; Qian G; Xiao Y; Wang X
Int J Biol Sci; 2018; 14(3):266-279. PubMed ID: 29559845
[TBL] [Abstract][Full Text] [Related]
17. Identification of potential key genes and key pathways related to clear cell renal cell carcinoma through bioinformatics analysis.
Zhai W; Lu H; Dong S; Fang J; Yu Z
Acta Biochim Biophys Sin (Shanghai); 2020 Aug; 52(8):853-863. PubMed ID: 32556097
[TBL] [Abstract][Full Text] [Related]
18. Identification of EGFR as a Novel Key Gene in Clear Cell Renal Cell Carcinoma (ccRCC) through Bioinformatics Analysis and Meta-Analysis.
Wang S; Yu ZH; Chai KQ
Biomed Res Int; 2019; 2019():6480865. PubMed ID: 30895194
[TBL] [Abstract][Full Text] [Related]
19. Systematic tracking of disrupted modules identifies significant genes and pathways in hepatocellular carcinoma.
Zhang MH; Shen QH; Qin ZM; Wang QL; Chen X
Oncol Lett; 2016 Nov; 12(5):3285-3295. PubMed ID: 27899995
[TBL] [Abstract][Full Text] [Related]
20. Identification of key genes and signalling pathways in clear cell renal cell carcinoma: An integrated bioinformatics approach.
S V; Balasubramanian S; Perumal E; Santhakumar K
Cancer Biomark; 2024; 40(1):111-123. PubMed ID: 38427469
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
