167 related articles for article (PubMed ID: 29749503)
1. A gene interaction network‑based method to measure the common and heterogeneous mechanisms of gynecological cancer.
Wang M; Li L; Liu J; Wang J
Mol Med Rep; 2018 Jul; 18(1):230-242. PubMed ID: 29749503
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis of the transcriptional expression of minichromosome maintenance proteins as potential indicators of survival in patients with cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Aug; 21(1):928. PubMed ID: 34404366
[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. 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]
5. 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]
6. 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]
7. Circular RNAs: Novel biomarkers for cervical, ovarian and endometrial cancer (Review).
Shi Y; He R; Yang Y; He Y; Shao K; Zhan L; Wei B
Oncol Rep; 2020 Nov; 44(5):1787-1798. PubMed ID: 33000238
[TBL] [Abstract][Full Text] [Related]
8. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
Wei J; Wang Y; Shi K; Wang Y
Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
[TBL] [Abstract][Full Text] [Related]
9. Regulation of gene expression in rats with spinal cord injury based on microarray data.
Chen G; Fang X; Yu M
Mol Med Rep; 2015 Aug; 12(2):2465-72. PubMed ID: 25936407
[TBL] [Abstract][Full Text] [Related]
10. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
11. Identification of a potential prognostic lncRNA-miRNA-mRNA signature in endometrial cancer based on the competing endogenous RNA network.
Wang Y; Huang T; Sun X; Wang Y
J Cell Biochem; 2019 Nov; 120(11):18845-18853. PubMed ID: 31338870
[TBL] [Abstract][Full Text] [Related]
12. A bioinformatics analysis of the clinicopathological and prognostic significance of
Zheng HC; Ren DH; Zhang CY; Chen Y; Zhang L
J Obstet Gynaecol; 2023 Dec; 43(1):2216280. PubMed ID: 37227120
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
[TBL] [Abstract][Full Text] [Related]
16. Identification of COL1A1 as an invasion‑related gene in malignant astrocytoma.
Sun S; Wang Y; Wu Y; Gao Y; Li Q; Abdulrahman AA; Liu XF; Ji GQ; Gao J; Li L; Wan FP; Li YQ; Gao DS
Int J Oncol; 2018 Dec; 53(6):2542-2554. PubMed ID: 30272346
[TBL] [Abstract][Full Text] [Related]
17. Potential four‑miRNA signature associated with T stage and prognosis of patients with pancreatic ductal adenocarcinoma identified by co‑expression analysis.
You L; Wang J; Zhang F; Zhang J; Tao H; Zheng X; Hu Y
Mol Med Rep; 2019 Jan; 19(1):441-451. PubMed ID: 30483731
[TBL] [Abstract][Full Text] [Related]
18. Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis.
Yang HJ; Xue JM; Li J; Wan LH; Zhu YX
Mol Genet Genomic Med; 2020 Jun; 8(6):e1200. PubMed ID: 32181600
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. The Role of Significantly Deregulated MicroRNAs in Recurrent Cervical Cancer Based on Bioinformatic Analysis of the Cancer Genome Atlas Data.
Liu H; Liu L; Zhu H
J Comput Biol; 2019 Apr; 26(4):387-395. PubMed ID: 30762435
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]