454 related articles for article (PubMed ID: 33217867)
1. Bioinformatics analysis of multi-omics data identifying molecular biomarker candidates and epigenetically regulatory targets associated with retinoblastoma.
Zeng Y; He T; Liu J; Li Z; Xie F; Chen C; Xing Y
Medicine (Baltimore); 2020 Nov; 99(47):e23314. PubMed ID: 33217867
[TBL] [Abstract][Full Text] [Related]
2. Excavating novel diagnostic and prognostic long non-coding RNAs (lncRNAs) for head and neck squamous cell carcinoma: an integrated bioinformatics analysis of competing endogenous RNAs (ceRNAs) and gene co-expression networks.
Yang L; Lu P; Yang X; Li K; Chen X; Qu S
Bioengineered; 2021 Dec; 12(2):12821-12838. PubMed ID: 34898376
[TBL] [Abstract][Full Text] [Related]
3. Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
Yang D; He Y; Wu B; Liu R; Wang N; Wang T; Luo Y; Li Y; Liu Y
Cancer Biomark; 2020; 29(3):399-416. PubMed ID: 32741804
[TBL] [Abstract][Full Text] [Related]
4. SSTR5‑AS1 functions as a ceRNA to regulate CA2 by sponging miR‑15b‑5p for the development and prognosis of HBV‑related hepatocellular carcinoma.
Xu J; Zhang J; Shan F; Wen J; Wang Y
Mol Med Rep; 2019 Dec; 20(6):5021-5031. PubMed ID: 31638225
[TBL] [Abstract][Full Text] [Related]
5. Identification of competitive endogenous RNAs network in breast cancer.
Wang X; Wan J; Xu Z; Jiang S; Ji L; Liu Y; Zhai S; Cui R
Cancer Med; 2019 May; 8(5):2392-2403. PubMed ID: 30932362
[TBL] [Abstract][Full Text] [Related]
6. Competing endogenous RNA network analysis for screening inflammation‑related long non‑coding RNAs for acute ischemic stroke.
Zhang L; Liu B; Han J; Wang T; Han L
Mol Med Rep; 2020 Oct; 22(4):3081-3094. PubMed ID: 32945445
[TBL] [Abstract][Full Text] [Related]
7. Identification of a PLCE1‑regulated competing endogenous RNA regulatory network for esophageal squamous cell carcinoma.
Yang Z; Hui Y; Peng H; Zhang H; Li M; Song L; Li F; Cui X
Oncol Rep; 2021 Mar; 45(3):857-868. PubMed ID: 33650665
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of Potential Biomarkers Involved in Gastric Cancer Through Integrated Analysis of Non-Coding RNA Associated Competing Endogenous RNAs Network.
Xing C; Cai Z; Gong J; Zhou J; Xu J; Guo F
Clin Lab; 2018 Oct; 64(10):1661-1669. PubMed ID: 30336538
[TBL] [Abstract][Full Text] [Related]
10. Retinoblastoma gene expression profiling based on bioinformatics analysis.
Mao J; Lu M; Lu S; Xing Y; Xu X; Chen Y; Xu H; Zuo W; Zhou J; Du W
BMC Med Genomics; 2023 May; 16(1):101. PubMed ID: 37179305
[TBL] [Abstract][Full Text] [Related]
11. Weighted genes associated with the progression of retinoblastoma: Evidence from bioinformatic analysis.
Zhou W; Guan W; Zhou Y; Rao Y; Ji X; Li J
Exp Eye Res; 2021 Oct; 211():108730. PubMed ID: 34419445
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics analysis proposes a possible role for long noncoding RNA MIR17HG in retinoblastoma.
Wang Z; Liang X; Yi G; Wu T; Sun Y; Zhang Z; Fu M
Cancer Rep (Hoboken); 2024 Feb; 7(2):e1933. PubMed ID: 38321787
[TBL] [Abstract][Full Text] [Related]
13. Screening and identification of key biomarkers for retinoblastoma: Evidence from bioinformatics analysis.
Huang J; Zhang L; Li Z; Lu X
Medicine (Baltimore); 2020 May; 99(20):e19952. PubMed ID: 32443297
[TBL] [Abstract][Full Text] [Related]
14. Construction of liver hepatocellular carcinoma-specific lncRNA-miRNA-mRNA network based on bioinformatics analysis.
Wang R; Hu X; Liu X; Bai L; Gu J; Li Q
PLoS One; 2021; 16(4):e0249881. PubMed ID: 33861762
[TBL] [Abstract][Full Text] [Related]
15. Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer.
Chen Y; Chen Z; Mo J; Pang M; Chen Z; Feng F; Xie P; Yang B
Technol Cancer Res Treat; 2021; 20():1533033821990064. PubMed ID: 33596783
[TBL] [Abstract][Full Text] [Related]
16. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis.
Xu Y; Qiao C; He S; Lu C; Dong S; Wu X; Yan M; Zheng F
Biomed Res Int; 2020; 2020():2383516. PubMed ID: 33299863
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.
Nie J; Gong L; Li Z; Ou D; Zhang L; Liu Y; Zhang J; Liu D
Comput Math Methods Med; 2022; 2022():5851269. PubMed ID: 35281953
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy
Guo M; Dai Y; Jiang L; Gao J
Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518
[TBL] [Abstract][Full Text] [Related]
19. Construction of competing endogenous RNA network and identification of novel molecular biomarkers in colon cancer: A bioinformatic analysis.
Xi G; Ziyu X; Yiting L; Zonghang L; Lifeng Z
Medicine (Baltimore); 2021 Apr; 100(14):e25369. PubMed ID: 33832120
[TBL] [Abstract][Full Text] [Related]
20. Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Nguyen TB; Do DN; Nguyen-Thi ML; Hoang-The H; Tran TT; Nguyen-Thanh T
Comput Biol Med; 2022 Oct; 149():105996. PubMed ID: 36049413
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
