287 related articles for article (PubMed ID: 31378454)
1. Identification of DNA methylation-regulated differentially-expressed genes and related pathways using Illumina 450K BeadChip and bioinformatic analysis in gastric cancer.
Liang Y; Zhang C; Dai DQ
Pathol Res Pract; 2019 Oct; 215(10):152570. PubMed ID: 31378454
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of Methylation-Regulated Differentially Expressed Genes and Related Pathways in Hepatocellular Carcinoma: A Study Based on TCGA Database and Bioinformatics Analysis.
Liang Y; Ma B; Jiang P; Yang HM
Front Oncol; 2021; 11():636093. PubMed ID: 34150612
[TBL] [Abstract][Full Text] [Related]
4. Identification of DNA methylation-regulated differentially expressed genes in RA by integrated analysis of DNA methylation and RNA-Seq data.
Zhang R; Chang C; Jin Y; Xu L; Jiang P; Wei K; Xu L; Guo S; Sun S; He D
J Transl Med; 2022 Oct; 20(1):481. PubMed ID: 36273177
[TBL] [Abstract][Full Text] [Related]
5. KRT15, INHBA, MATN3, and AGT are aberrantly methylated and differentially expressed in gastric cancer and associated with prognosis.
Zhang C; Liang Y; Ma MH; Wu KZ; Dai DQ
Pathol Res Pract; 2019 May; 215(5):893-899. PubMed ID: 30718100
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatic identification of differentially expressed genes regulated by DNA-methylation in glioblastoma.
Guan S; Jian L; He Y; Su Y; Zhou L
Eur J Neurosci; 2022 Mar; 55(5):1278-1290. PubMed ID: 34963193
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
8. Integrated bioinformatics approach reveals methylation-regulated differentially expressed genes in obesity.
Duarte GCK; Pellenz F; Crispim D; Assmann TS
Arch Endocrinol Metab; 2023 May; 67(4):e000604. PubMed ID: 37252693
[TBL] [Abstract][Full Text] [Related]
9. A novel scoring system for gastric cancer risk assessment based on the expression of three CLIP4 DNA methylation-associated genes.
Hu C; Zhou Y; Liu C; Kang Y
Int J Oncol; 2018 Aug; 53(2):633-643. PubMed ID: 29901187
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer.
Yang J
Med Oncol; 2020 Mar; 37(5):34. PubMed ID: 32219571
[TBL] [Abstract][Full Text] [Related]
12. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
13. Identification and Analysis of Key Genes Driving Gastric Cancer Through Bioinformatics.
Liu Z; Liu S; Guo J; Sun L; Wang S; Wang Y; Qiu W; Lv J
Genet Test Mol Biomarkers; 2021 Jan; 25(1):1-11. PubMed ID: 33470887
[No Abstract] [Full Text] [Related]
14. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Prediction of key genes and pathways involved in trastuzumab-resistant gastric cancer.
Yu C; Xue P; Zhang L; Pan R; Cai Z; He Z; Sun J; Zheng M
World J Surg Oncol; 2018 Aug; 16(1):174. PubMed ID: 30134903
[TBL] [Abstract][Full Text] [Related]
17. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
18. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
19. Integrated DNA Methylation and Transcriptomics Analyses of Lacrimal Glands Identify the Potential Genes Implicated in the Development of Sjögren's Syndrome-Related Dry Eye.
Sun M; Wei Y; Zhang C; Nian H; Du B; Wei R
J Inflamm Res; 2023; 16():5697-5714. PubMed ID: 38050559
[TBL] [Abstract][Full Text] [Related]
20. Identifying Diagnostic and Prognostic Differentially Expressed Genes of Gastric Cancer Based on Bioinformatics Analyses of RNA-seq Data.
Wang M; Jiang X; Xu S; Deng Y; Cao T; Cheng Y; Zhang WH; Zhang L; Hu J
Genet Test Mol Biomarkers; 2022 Nov; 26(11):512-521. PubMed ID: 36383109
[No Abstract] [Full Text] [Related]
[Next] [New Search]
