192 related articles for article (PubMed ID: 31974616)
1. Identification of aberrantly methylated‑differentially expressed genes and gene ontology in prostate cancer.
Wang L; Wang B; Quan Z
Mol Med Rep; 2020 Feb; 21(2):744-758. PubMed ID: 31974616
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. DNA methylation biomarkers for nasopharyngeal carcinoma.
Han B; Yang X; Zhang P; Zhang Y; Tu Y; He Z; Li Y; Yuan J; Dong Y; Hosseini DK; Zhou T; Sun H
PLoS One; 2020; 15(4):e0230524. PubMed ID: 32271791
[TBL] [Abstract][Full Text] [Related]
6. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach.
Fang E; Zhang X; Wang Q; Wang D
Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317
[TBL] [Abstract][Full Text] [Related]
7. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
Zhang Y; Fang L; Zang Y; Xu Z
Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
[TBL] [Abstract][Full Text] [Related]
8. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
Ye Y; Li SL; Wang SY
PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
[TBL] [Abstract][Full Text] [Related]
9. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
[TBL] [Abstract][Full Text] [Related]
10. Diagnosis and prognosis potential of four gene promoter hypermethylation in prostate cancer.
Li Y; Meng L; Shi T; Ren J; Deng Q
Cell Biol Int; 2021 Jan; 45(1):117-126. PubMed ID: 32991011
[TBL] [Abstract][Full Text] [Related]
11. Identification of Differentially Expressed Genes Induced by Aberrant Methylation in Oral Squamous Cell Carcinomas Using Integrated Bioinformatic Analysis.
Zhang X; Feng H; Li D; Liu S; Amizuka N; Li M
Int J Mol Sci; 2018 Jun; 19(6):. PubMed ID: 29875348
[TBL] [Abstract][Full Text] [Related]
12. Identification of differentially expressed genes regulated by methylation in colon cancer based on bioinformatics analysis.
Liang Y; Zhang C; Dai DQ
World J Gastroenterol; 2019 Jul; 25(26):3392-3407. PubMed ID: 31341364
[TBL] [Abstract][Full Text] [Related]
13. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
14. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
Baruah MM; Sharma N
Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
[TBL] [Abstract][Full Text] [Related]
15. DNA hypermethylation of aurora kinase A in hepatitis C virus‑positive hepatocellular carcinoma.
Ma Z; Liu Y; Hao Z; Hua X; Li W
Mol Med Rep; 2019 Sep; 20(3):2519-2532. PubMed ID: 31322223
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics analysis identified hub genes in prostate cancer tumorigenesis and metastasis.
Gu P; Yang D; Zhu J; Zhang M; He X
Math Biosci Eng; 2021 Apr; 18(4):3180-3196. PubMed ID: 34198380
[TBL] [Abstract][Full Text] [Related]
17. Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.
Wu J; Zhang Y; Li M
J Comput Biol; 2019 Dec; 26(12):1394-1408. PubMed ID: 31290690
[TBL] [Abstract][Full Text] [Related]
18. EFEMP1 as a novel DNA methylation marker for prostate cancer: array-based DNA methylation and expression profiling.
Kim YJ; Yoon HY; Kim SK; Kim YW; Kim EJ; Kim IY; Kim WJ
Clin Cancer Res; 2011 Jul; 17(13):4523-30. PubMed ID: 21571867
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
