248 related articles for article (PubMed ID: 30867653)
1. Combined analysis and validation for DNA methylation and gene expression profiles associated with prostate cancer.
Tong Y; Song Y; Deng S
Cancer Cell Int; 2019; 19():50. PubMed ID: 30867653
[TBL] [Abstract][Full Text] [Related]
2. Identification of key DNA methylation-driven genes in prostate adenocarcinoma: an integrative analysis of TCGA methylation data.
Xu N; Wu YP; Ke ZB; Liang YC; Cai H; Su WT; Tao X; Chen SH; Zheng QS; Wei Y; Xue XY
J Transl Med; 2019 Sep; 17(1):311. PubMed ID: 31533842
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
5. Identification of abnormally methylated-differentially expressed genes and pathways in osteoarthritis: a comprehensive bioinformatic study.
Zheng L; Chen W; Xian G; Pan B; Ye Y; Gu M; Ma Y; Zhang Z; Sheng P
Clin Rheumatol; 2021 Aug; 40(8):3247-3256. PubMed ID: 33420869
[TBL] [Abstract][Full Text] [Related]
6. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
Front Genet; 2021; 12():571231. PubMed ID: 33767726
[TBL] [Abstract][Full Text] [Related]
7. Identification of aberrantly methylated differentially expressed genes in prostate carcinoma using integrated bioinformatics.
Wu K; Yin X; Jin Y; Liu F; Gao J
Cancer Cell Int; 2019; 19():51. PubMed ID: 30872976
[TBL] [Abstract][Full Text] [Related]
8. Combined screening analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
Cao J; Zhang R; Zhang Y; Wang Y
J Gastrointest Oncol; 2022 Feb; 13(1):311-325. PubMed ID: 35284134
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatic Analysis Combined With Experimental Validation Reveals Novel Hub Genes and Pathways Associated With Focal Segmental Glomerulosclerosis.
Hou YP; Diao TT; Xu ZH; Mao XY; Wang C; Li B
Front Mol Biosci; 2021; 8():691966. PubMed ID: 35059432
[No Abstract] [Full Text] [Related]
10. A Novel Hypoxia-Related Gene Signature with Strong Predicting Ability in Non-Small-Cell Lung Cancer Identified by Comprehensive Profiling.
Yang H; Wang Z; Gong L; Huang G; Chen D; Li X; Du F; Lin J; Yang X
Int J Genomics; 2022; 2022():8594658. PubMed ID: 35634481
[TBL] [Abstract][Full Text] [Related]
11. Exploration of the pathogenesis of Sjögren's syndrome via DNA methylation and transcriptome analyses.
Du Y; Li J; Wu J; Zeng F; He C
Clin Rheumatol; 2022 Sep; 41(9):2765-2777. PubMed ID: 35562622
[TBL] [Abstract][Full Text] [Related]
12. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
[TBL] [Abstract][Full Text] [Related]
15. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
16. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
17. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
Front Genet; 2020; 11():530892. PubMed ID: 33061942
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.
Chen X; Wang J; Peng X; Liu K; Zhang C; Zeng X; Lai Y
Medicine (Baltimore); 2020 Apr; 99(14):e19628. PubMed ID: 32243390
[TBL] [Abstract][Full Text] [Related]
19. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
20. Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.
Weng K; Huang Y; Deng H; Wang R; Luo S; Wu H; Chen J; Long M; Hao W
Transl Cancer Res; 2020 Oct; 9(10):6246-6262. PubMed ID: 35117235
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]